About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Role Title: Indirect Help Desk Support Function: Global Business Services Level: G3 – Supervisor Role Summary: McDonald’s has set an ambition to become a Global Indirect Sourcing and Procurement leader. To make this happen, we are standing up a new Global Indirect Sourcing and Procurement Organization (IS&P). This organization will help McDonald’s to better leverage our scale and unlock sustainable value for our company and communities. We are transforming our Indirect Sourcing and Procurement capabilities, processes, solutions, and ways of working to create One McDonald’s Way of buying Indirect goods and services responsibly. The Indirect Help Desk support role will ensure that users can efficiently navigate procurement tools. Help Desk Support professionals address technical problems, resolve user errors, and escalate more complex issues to higher-level support teams or IT departments when necessary. They also assist in user training by offering guidance on system functionalities, best practices, and process workflows. This role is expected to help maintain knowledge bases, FAQs, and documentation to enable self-service for users and reduce ticket volume. The role involves responding promptly to help desk tickets, ensuring service level agreements (SLAs) are met, and providing clear, courteous communication to ensure user satisfaction. Help Desk Support professionals play a crucial role in minimizing disruptions to procurement activities, ensuring smooth system operations, and contributing to the overall efficiency of the procurement function. Key Responsibilities: Provide first-line support for procurement software and tools, assisting users with issues related to procurement systems, order management, and supplier inquiries Address and resolve user queries related to procurement processes, tools, and systems Conduct training sessions for staff on procurement systems, policies, and best practices. Maintain up-to-date documentation of processes, FAQs, and troubleshooting guides for reference Work closely with procurement teams and Global Tech departments to escalate and resolve complex issues Gather user feedback on procurement processes and systems to identify areas for improvement Knowledge and Skill Requirements: Minimum Associate’s degree required 1+ years of relevant experience with Business, IT, Sourcing & Procurement, or general Supply Chain background Experience in SAP Ariba is required. Experience in ServiceNow OR any Ticketing tool is required. Experience in Helpdesk support is required. Good To Have Skills: Skills: Customer Service, Technical Aptitude, Compliance Management, Attention to Detail, Delivery Excellence Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Role Title: Indirect Help Desk Support Function: Global Business Services Level: G2 – Specialist Role Summary: McDonald’s has set an ambition to become a Global Indirect Sourcing and Procurement leader. To make this happen, we are standing up a new Global Indirect Sourcing and Procurement Organization (IS&P). This organization will help McDonald’s to better leverage our scale and unlock sustainable value for our company and communities. We are transforming our Indirect Sourcing and Procurement capabilities, processes, solutions, and ways of working to create One McDonald’s Way of buying Indirect goods and services responsibly. The Indirect Help Desk support role will ensure that users can efficiently navigate procurement tools. Help Desk Support professionals address technical problems, resolve user errors, and escalate more complex issues to higher-level support teams or IT departments when necessary. They also assist in user training by offering guidance on system functionalities, best practices, and process workflows. This role is expected to help maintain knowledge bases, FAQs, and documentation to enable self-service for users and reduce ticket volume. The role involves responding promptly to help desk tickets, ensuring service level agreements (SLAs) are met, and providing clear, courteous communication to ensure user satisfaction. Help Desk Support professionals play a crucial role in minimizing disruptions to procurement activities, ensuring smooth system operations, and contributing to the overall efficiency of the procurement function. Key Responsibilities: Provide first-line support for procurement software and tools, assisting users with issues related to procurement systems, order management, and supplier inquiries Address and resolve user queries related to procurement processes, tools, and systems Conduct training sessions for staff on procurement systems, policies, and best practices. Maintain up-to-date documentation of processes, FAQs, and troubleshooting guides for reference Work closely with procurement teams and Global Tech departments to escalate and resolve complex issues Gather user feedback on procurement processes and systems to identify areas for improvement Knowledge and Skill Requirements: Minimum Associate’s degree required Relevant entry-level experience with or education in Business, IT, Sourcing & Procurement, or general Supply Chain background Experience in SAP Ariba is required. Experience in ServiceNow OR any Ticketing tool is required. Experience in Helpdesk support is required. Good To Have Skills: Skills: Customer Service, Technical Aptitude, Compliance Management, Attention to Detail, Delivery Excellence Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Global Tech Infrastructure & Operations – Cloud Security Engineer III Job Summary: This opportunity is part of the Global Technology Infrastructure & Operations team (GTIO), where our mission is to deliver modern and relevant technology that supports the way McDonald’s works. We provide best-in-class foundational technology products and services including Global Networking, Cloud, End User Computing, and IT Service Management. It’s our goal to always provide an engaging, The Cloud Security Engineer III role is part of the Cloud Infrastructure and Operations team in Global Technology Infrastructure & Operations. This role is responsible for delivering the enterprise-grade security platform engineering outcomes, delivering enhancements and automating security remediations, supporting DevOps and Engineers consuming cloud resources to ensure it is done in a meaningful and secure manner, and engaging with cybersecurity and risk management teams to improve the security posture of the cloud environments. This is an exciting opportunity for an experienced technology leader to help shape the transformation of infrastructure and operations products and services to the entire McDonalds environment. Responsibilities & Accountabilities: Automate the provisioning of cloud monitors, automated remediation, security baselines and templates, etc through the concept of pipeline engineering. Implement core cloud security capabilities such as identity & access, data protection, security controls and compliance, vulnerability management, threat detection and response, and logging/monitoring. Performing penetration testing, red/blue teaming, and gap analysis with audit and cybersecurity partners. Support operations and incident response in cloud events and incidents. Design and deploy programs, dashboards, tests, scripts, and automation to enhance cloud security posture, detection, and response. Build prototypes and perform proof of concepts to demonstrate security value Remain up-to-date on emerging technologies and architecture and propose ways to use them in current and upcoming projects. Educate and guide team members on cloud standards, procedures, and guidelines/best practices. Act as a SME for all Cloud technical hands-on questions cloud security related. Lead and facilitate the creation of compliance automation and policy-as-code to streamline cloud governance in partnership with the Technical Product Analyst(s) and Manager(s). Strive to provide internal and external customers with excellent customer service and world-class service and focus on improvement and benefits to the cloud consumer’s outcomes. Influence and support more junior cloud security engineers and help develop their skill sets and understanding of cloud security. Basic Qualifications Must be fully vaccinated (i.e., at least 2 weeks after last dose) for COVID-19 and, if hired, present proof of vaccination by start date. Willingness and ability to live the McDonald’s values every day: Serve, Inclusion, Integrity, Community, and Family. Ability to effectively communicate with other senior leaders of IT on program strategies and plans and negotiate quality solutions. Must be attentive to details, organized, self-motivated, and driven. Ability to create system and process flow diagrams, data flow diagrams, sequence and UML diagrams, inter and intra system dependencies within the functional domain and across them Knowledge and understanding of industry trends and new technologies and ability to apply trends to architectural needs. Excellent written and oral communication skills with ability to communicate effectively with technical and non-technical staff. Defines and promotes best practices; cultivates a culture of innovation and learning, including willingness to instruct and coach in a cloud training program as needed. Demonstrated strong analytic and problem-solving abilities. Expert technical knowledge in two or more and strong technical knowledge in 4 or more of the following domains: Cryptography, encryption, and key management Data protection and security Governance and risk management Identity, access and permissions Infrastructure security Logging and monitoring Security event and incident response Threat and vulnerability management Application and interface security DevOps pipeline governance and security Professional-level cloud certifications (GCP, AWS, or Azure) Required Qualifications: 4+ years of Cloud development and support experience such as, Amazon Web Services (AWS) or Google Cloud Platform (GCP) Infrastructure as Code (IaC) experience: Terraform - scripting and automation via AZ CLI/PowerShell, Bash, Python, Shell etc. Experience in cloud security is required. Demonstrated ability to provide architectural design, leadership, management, and mentoring to team members. Experience developing design specifications, test plans, and protocols. Experience mentoring less experienced team members. Deep experience in building Kubernetes environment is preferred. Good to have Experience: Prior experience in security Windows and Linux servers at scale. Enabling DevOps in IaaS/PaaS is a plus. Experience in multiple programming languages like Python, C#, Java, JavaScript, Ruby on rails etc. CCSK or similar technical security certification. Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Global Tech Infrastructure & Operations – Cloud Security Engineer II Job Summary: This opportunity is part of the Global Technology Infrastructure & Operations team (GTIO), where our mission is to deliver modern and relevant technology that supports the way McDonald’s works. We provide best-in-class foundational technology products and services including Global Networking, Cloud, End User Computing, and IT Service Management. It’s our goal to always provide an engaging, The Cloud Security Engineer II role is part of the Cloud Infrastructure and Operations team in Global Technology Infrastructure & Operations. This role is responsible for delivering the enterprise-grade security platform engineering outcomes, delivering enhancements and automating security remediations, supporting DevOps and Engineers consuming cloud resources to ensure it is done in a meaningful and secure manner, and engaging with cybersecurity and risk management teams to improve the security posture of the cloud environments. This is an exciting opportunity for an experienced technology leader to help shape the transformation of infrastructure and operations products and services to the entire McDonalds environment. Responsibilities & Accountabilities: Automate the provisioning of cloud monitors, automated remediation, security baselines and templates, etc through the concept of pipeline engineering. Implement core cloud security capabilities such as identity & access, data protection, security controls and compliance, vulnerability management, threat detection and response, and logging/monitoring. Performing penetration testing, red/blue teaming, and gap analysis with audit and cybersecurity partners. Support operations and incident response in cloud events and incidents. Design and deploy programs, dashboards, tests, scripts, and automation to enhance cloud security posture, detection, and response. Build prototypes and perform proof of concepts to demonstrate security value Remain up-to-date on emerging technologies and architecture and propose ways to use them in current and upcoming projects. Educate and guide internal and external team members on cloud standards, procedures, and guidelines/best practices. Act as a SME for all Cloud technical hands-on questions cloud security related. Lead and facilitate the creation of compliance automation and policy-as-code to streamline cloud governance in partnership with the Technical Product Analyst(s) and Manager(s). Strive to provide internal and external customers with excellent customer service and world-class service and focus on improvement and benefits to the cloud consumer’s outcomes. Basic Qualifications: Must be fully vaccinated (i.e., at least 2 weeks after last dose) for COVID-19 and, if hired, present proof of vaccination by start date. Willingness and ability to live the McDonald’s values every day: Serve, Inclusion, Integrity, Community, and Family. Ability to effectively communicate with other senior leaders of IT on program strategies and plans and negotiate quality solutions. Must be attentive to details, organized, self-motivated, and driven. Ability to create system and process flow diagrams, data flow diagrams, sequence and UML diagrams, inter and intra system dependencies within the functional domain and across them Knowledge and understanding of industry trends and new technologies and ability to apply trends to architectural needs. Excellent written and oral communication skills with ability to communicate effectively with technical and non-technical staff. Defines and promotes best practices; cultivates a culture of innovation and learning, including willingness to instruct and coach in a cloud training program as needed. Demonstrated strong analytic and problem-solving abilities. Strong technical knowledge in 6 or more of the following domains: Cryotography, encryption, and key management Data protection and security Governance and risk management Identity, access and permissions Infrastructure security Logging and monitoring Security event and incident response Threat and vulnerability management Application and interface security DevOps pipeline governance and security Associate-level cloud certifications (AWS, GCP) Required Qualifications: 2+ years of GCP OR AWS Security engineering experience Infrastructure as Code (IaC) experience: Terraform - scripting and automation via AZ CLI/PowerShell, Bash, Python, Shell etc. 2+ years of cloud experience and a Bachelor’s degree. Deep experience in building Kubernetes environment is preferred. Good to have Experience: Experience in software development (e.g. C#, .Net, .Net core) or scripting (e.g. Python, Powershell, etc.). Experience in multiple programming languages like Python, C#, Java, JavaScript, Ruby on rails etc. CCSK or similar technical security certification Prior experience in security Windows and Linux servers at scale. Enabling DevOps in IaaS/PaaS is a plus. Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: The Cloud Engineer II (DevSecOps) Who we’re looking for: This opportunity is part of the Global Technology Infrastructure & Operations team (GTIO), where our mission is to deliver modern and relevant technology that supports the way McDonald’s works! We provide outstanding foundational technology products and services including Global Networking, Cloud, End User Computing, and IT Service Management. It’s our goal to always provide an engaging, relevant, and simple experience for our customers. The Cloud Engineer II (DevSecOps) reports to the Director of Enterprise DevSecOps Platform and is responsible for supporting, migrating, automation and optimization of software development and deployment process. The Cloud DevSecOps Engineer will work closely with software developers, operations engineers, and other stakeholders to ensure that the software delivery process is efficient, secure, and scalable. You will support the Corporate, Digital, Data, Restaurant, and Market application and product teams by efficiently and optimally delivering DevOps standards and services. This is a great opportunity for an experienced technology leader to help craft the transformation of infrastructure and operations products and services to the entire McDonalds environment. In this role, you will: Participate in the management, design, and solutioning of software development and deployment process. Provide direction and guidance to vendors partnering on DevSecOps tools standardization and engineering support. Build reusable pipeline templates for automated deployment of cloud infrastructure and code. Research, analyze, design, develop and support high-quality automation workflows inside and outside the cloud platform that are appropriate for business and technology strategies. Develop and maintain infrastructure and tools that support the software development and deployment process. Automate the software development and deployment process. Monitor and troubleshoot the software delivery process. Work with software developers and operations engineers to improve the software delivery process. Stay up to date on the latest DevSecOps practices and technologies. Drive proof of concepts and conduct technical feasibility studies for business requirements. Strive to provide internal and external customers with excellent customer service and world-class service. Effectively communicate project health, risks, and issues to the program partners, sponsors, and management teams. Resolve most conflicts between timeline, budget, and scope independently but intuitively raise complex or consequential issues to senior management. Work well in an agile environment Qualifications : 3+ years hands-on DevOps pipeline for automating, building and deploying Microservice Applications, API's and Non-Container Artifacts (Preferred) 3+ years GitHub Actions, ArgoCD, Helm Charts, Haness and SonarQube (Preferred) 3+ years hands-on experience with CI/CD technologies including Microservices, Terraform and Pipeline creation/management (e.g., Github, Artifactory/JFROG, Harness,etc.) (Preferred) Over 3 + years of experience with cloud technologies, including extensive hands-on work with IaaS and PaaS offerings in GCP OR AWS services. More than 3 years of experience in developing application build and deployment pipelines for .NET, Java, and Python applications, is good to have. Hands-on experience in managing Kubernetes clusters. Experience with observability tools like Datadog, New Relic and open source (O11y) observability ecosystem (Prometheus, Grafana, Jaeger) (Preferred) 4+ years of Information Technology experience Bachelor's degree in information technology, or a related field or relevant experience. 3+ years of application development using agile methodology. Advanced knowledge of application, data, and infrastructure architecture disciplines + Experience with Kubernetes, and AWS platform Hands-on knowledge of a broad range of End-to-End DevOps technologies Ability to design, develop and implement scalable, elastic microservice based platforms. Ability to help/guide team in resolving technical issues through debugging, research, and investigation. Automate ios Infrastructure: Utilize infrastructure-as-code principles to simplify the deployment and maintenance of build environments using tools like Terraform, GitHub Actions, Chef, Ansible, and Puppet for configuration management. Enhance Developer Efficiency: Develop and maintain tools that boost the productivity of iOS developers, including build automation, testing, and release management tools. Automate Android Infrastructure: Utilize infrastructure-as-code principles to simplify the deployment and maintenance of build environments using tools like Terraform, GitHub Actions, Chef, Ansible, and Puppet for configuration management. Enhance Developer Efficiency: Develop and maintain tools that boost the productivity of Android developers, including build automation, testing, and release management tools. Good to have experience in working on Code Quality SAST and DAST tools like SonarQube/SonarCloud, Veracode, Checkmarx, and Snyk. Experience using container-based technologies. Any AWS Certification and?Agile certification preferably scaled agile. Good knowledge of IaaS and PaaS offerings in AWS, Azure and GCP Good knowledge of Infrastructure-as-Code and associated technologies (e.g. repos, pipelines, Terraform, etc.). Previous DevSecOps and automation experience Experience developing scripts or automating tasks using languages such as Bash, Powershell, Python, Perl, Ruby, etc. Strong desire to automate everything you touch. Self-starter, able to come up with solutions to problems and complete those solutions while coordinating with other teams. Knowledge of foundational cloud security principles Excellent problem-solving and analytical skills Strong communication and partnership skills Knowledge of AWS and Azure and a willingness to upskill as the company’s adoption grows (preferred) Experience with Software Development Life Cycle (SDLC) (Preferred) Hands-on knowledge of an Infrastructure-as-Code and associated technologies (e.g. repos, pipelines, Terraform, etc.) (Preferred) Advanced knowledge of "AWS" Platform preferably 3+ years AWS/Kubernetes experience (Preferred) Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Who we’re looking for: Primary Responsibilities: Builds and maintains relevant and reliable data products that support Finance Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view. Participates in new software development and data engineering initiatives supporting Finance Analytics, ensuring timely and accurate delivery of financial data products. Drive and implement best Data Engineering practices for pipeline development, data governance, data security and quality across financial datasets. Implement security and privacy controls in data workflows, ensuring compliance with finance regulatory requirements. Monitor, troubleshoot, and improve performance and reliability of existing finance data pipeline infrastructure. Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving financial analytics needs. Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference. Partner and collaborate with data engineers, particularly in finance-centric data models and processing frameworks. Ability and flexibility to coordinate and work with teams distributed across time zones, as needed. Skill: Applies technical data engineering expertise to develop reliable pipelines and improve data quality in support of finance and analytics initiatives Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing 3+ years of professional experience in data engineering or related fields Proficiency in Python, Java, or Scala for data processing and automation Hands-on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, NoSQL) Good working knowledge of Data quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc. Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools Effective communication and stakeholder management skills to drive alignment and adoption of data engineering standards Demonstrated experience in data management & data governance capabilities Familiarity with data warehousing principles and best practices. Excellent problem solver - use of data and technology to solve problems or answer complex data related questions Excellent collaboration skills to work effectively in cross-functional teams Work location: Hyderabad, India Work hours: Work pattern: Full time role. Work mode: Hybrid. Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Who we’re looking for: Primary Responsibilities: Builds and maintains relevant and reliable Menu data products that support menu and marketing Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view. Participates in new software development engineering and Lead data engineering initiatives supporting Product Mix Analytics, ensuring timely and accurate delivery of marketing and menu-related products. Work closely with the Product owner and help to define business rules that determines the quality of Menu datasets. Drive and implement best practices for pipeline development, data governance, data security and quality across marketing and menu-related datasets. Ensure scalability, maintainability, and quality of data systems powering menu item tracking, promotion data, and marketing analytics. Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving Product Mix analytics needs. Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference. Mentor and coach junior data engineers, particularly in areas related to menu item tracking, promotion data, and marketing analytics. Ability and flexibility to coordinate and work with teams distributed across time zones, as needed Skill: Leads teams to drive scalable data engineering practices and technical excellence within the Menu Data ecosystem. Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing 5+ years of professional experience in data engineering or related fields Proficiency in Python, Java, or Scala for data processing and automation Hands-on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, NoSQL) Expert knowledge of Data quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc. Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools Proven ability to mentor team members and lead technical initiatives across multiple workstreams Effective communication and stakeholder management skills to drive alignment and adoption of data engineering standards Demonstrated experience in data management & data governance capabilities Familiarity with data warehousing principles and best practices. Excellent problem solver - use of data and technology to solve problems or answer complex data related questions Excellent collaboration skills to work effectively in cross-functional teams. Work location: Hyderabad, India Work hours: Work pattern: Full time role. Work mode: Hybrid. Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Governance Tooling & Lifecycle Mgmt. Lead: (Sr Manager, Data Operations & Management_G5_ EDAA0493_EDAA0494) As the Data Governance Tooling & Lifecycle Management Lead, you will be responsible for the end-to-end strategy, implementation, and operations of data governance tooling and processes across the enterprise. This role leads efforts to enable scalable metadata management, data lineage, data lifecycle governance, and access policy enforcement—using modern platforms such as Collibra and supporting a cloud-native data stack spanning GCP, AWS, BigQuery, and Redshift. You will collaborate across data engineering, architecture, compliance, and analytics teams to ensure data is governed, discoverable, and trusted throughout its lifecycle. Who we’re looking for: Primary Responsibilities: Governance Tooling Ownership Own the architecture, implementation, and administration of enterprise data governance platforms (e.g., Collibra ). Define and evolve governance workflows, including stewardship assignments, metadata curation, approval processes, and policy enforcement. Integrate governance tooling with cloud platforms, data warehouses, and cataloging solutions to enable real-time governance at scale. Lifecycle Management Strategy Develop and implement strategies for data lifecycle governance from ingestion and active use through archival and deletion. Ensure that data retention, archival, and purging practices align with compliance regulations and business needs. Partner with cloud and infrastructure teams to operationalize lifecycle rules across GCP , AWS , and warehouse platforms (e.g., BigQuery , Redshift ). Metadata & Lineage Enablement Drive adoption and quality of technical and business metadata , ensuring traceability and data understanding across systems. Lead initiatives to automate and visualize end-to-end data lineage across source systems, pipelines, warehouses, and BI tools. Policy Management & Compliance Collaborate with legal, compliance, and security teams to define and enforce data access, classification, and privacy policies. Ensure tooling supports regulatory compliance frameworks (e.g., GDPR, CCPA, HIPAA) and internal audit requirements. Collaboration & Enablement Work with data stewards, engineers, and product teams to ensure governance tooling meets user needs and drives adoption. Support enablement efforts through training, documentation, and tooling best practices. Report on governance adoption, data quality KPIs, and policy coverage to senior leadership and data councils. Skill: 8+ years of experience in data governance , metadata management , or data operations , with 3+ years owning enterprise tooling or lifecycle processes. Deep expertise in: Data governance platforms (e.g., Collibra , Alation, Informatica) Metadata and lineage management Cloud platforms : GCP (BigQuery, Cloud Storage), AWS (Redshift, S3) Integration with enterprise data platforms, pipelines, and BI tools Strong understanding of compliance and regulatory data handling practices. Excellent project management and stakeholder communication skills across technical and business domains. Bachelor’s or Master’s degree in Data Management, Information Systems, Computer Science, or related field. Preferred Experience: Experience in Retail or QSR environments managing governance across global data operations. Exposure to data product ownership , data mesh , or federated governance models. Familiarity with APIs and automation scripts to extend and integrate governance workflows with data pipelines and CI/CD processes. Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work hours: Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment. Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Accessibility Lead:(Sr Manager, Data Operations & Management_G5_EDAA0488_EDAA0489) As the Data Accessibility Lead, you will drive the enterprise-wide strategy for enabling secure, governed, and scalable access to data for AI/ML, analytics, and business operations. You will lead cross-functional teams responsible for managing data lifecycle, enforcing data quality standards, and implementing modern governance tooling such as Collibra. This role is pivotal to operationalizing data accessibility across cloud platforms like GCP and AWS, including BigQuery, Redshift, and other core data infrastructure. Who we’re looking for: Primary Responsibilities: Strategic Data Accessibility Leadership Set the strategic direction for enterprise data accessibility, ensuring consistent and secure access across teams and platforms. Lead the implementation and adoption of data governance tools (e.g., Collibra ) to manage metadata, lineage, and data policies. Champion enterprise adoption of semantic and technical metadata practices for improved discoverability and data use. AI/ML Enablement Oversee the availability, quality, and governance of data used for AI/ML model development and lifecycle management . Ensure that model training, validation, and deployment pipelines have reliable and timely access to governed datasets. Partner with MLOps, engineering, and product teams to embed data accessibility standards in model workflows. Cloud Platform Integration Oversee data accessibility initiatives in GCP and AWS , including integration with BigQuery , Redshift , and cloud-native storage. Develop strategies for managing access controls, encryption, and auditability of data assets across cloud environments. Data Governance & Quality Oversight Define and enforce enterprise data quality standards , including data profiling, validation, and exception handling workflows. Ensure compliance with internal data policies and external regulations (e.g., GDPR, HIPAA, CCPA). Lead enterprise initiatives around data lifecycle management , from ingestion and processing to archival and retention. Cross-Functional Collaboration & Leadership Lead and mentor a team of data operations professionals and collaborate with data engineering, governance, AI/ML, and compliance teams. Provide executive-level insights and recommendations for improving enterprise data accessibility, quality, and governance practices. Drive alignment between business units, technical teams, and compliance functions through effective data stewardship. Skill: 8+ years of experience in data operations , data governance , or data quality management , with at least 3 years in a strategic leadership capacity. Strong hands-on and strategic experience with: Collibra or similar data governance platforms Cloud platforms : Google Cloud Platform (GCP), Amazon Web Services (AWS) Enterprise data warehouses such as Big Query , Redshift , or Snowflake AI/ML model lifecycle support and MLOps integration Data quality frameworks, metadata management, and data access policy enforcement SQL Strong analytical and problem-solving skills; ability to work across highly matrixed, global organizations. Exceptional communication, leadership, and stakeholder management skills. Bachelor’s or Master’s degree in Data Science, Information Systems, or a related field. Preferred Experience: Experience in Retail or Quick Service Restaurant (QSR) environments with operational and real-time analytics needs. Familiarity with data mesh concepts, data product ownership, and domain-based accessibility strategies. Experience navigating privacy, residency, or regulatory compliance in global data environments. Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work hours: Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable[LG1] accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment. Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Quality Engineering Support:(Manager, Data Operations & Management_G4_EDAA0605_EDAA0606_EDAA0607_EDAA0608_EDAA0609) As the Data Quality Engineering Support Manager, you will be responsible for implementing, scaling, and supporting enterprise-wide data quality frameworks across cloud-native data platforms. You will drive hands-on initiatives to monitor, validate, and reconcile data across ingestion, processing, and consumption layers—enabling trusted data for analytics, AI/ML, and operational workflows. This role requires a blend of technical depth, platform expertise (e.g., BigQuery, Redshift, GCP, AWS), and collaboration across engineering, governance, and product teams. Who we’re looking for: Primary Responsibilities: Data Quality Engineering & Monitoring Implement and support automated data quality checks for accuracy, completeness, timeliness, and consistency across datasets. Develop validation frameworks for ingestion pipelines, curated layers, and reporting models in platforms like BigQuery and Redshift. Integrate data quality controls into CI/CD pipelines and orchestration tools (e.g., Airflow, Cloud Composer). Data Quality Operations Respond to and resolve data quality incidents and discrepancies across data domains and systems. Collaborate with engineering and product teams to implement root cause analysis and build long-term remediation strategies. Establish SLAs and alerting thresholds for data quality KPIs. Cloud Platform Integration Deploy scalable data quality monitoring solutions across GCP (BigQuery, Cloud Storage) and AWS (Redshift, S3, Glue). Leverage platform-native services and third-party tools for automated profiling, rule enforcement, and anomaly detection. Governance Alignment Partner with data governance teams to align quality rules with business glossary terms, reference data, and stewardship models. Integrate quality metadata into governance tools such as Collibra, enabling lineage and audit tracking. Documentation, Enablement & Collaboration Maintain playbooks, documentation, and automated reporting for quality audits and exception handling. Collaborate with data owners, analysts, and data product teams to promote a culture of data trust and shared ownership. Provide training and knowledge-sharing to enable self-service quality monitoring and issue triaging. Skill: 5+ years of experience in data quality engineering, data operations, or data pipeline support, ideally in a cloud-first environment. Hands-on expertise in: Building and managing data quality checks (e.g., null checks, duplicates, data drift, schema mismatches) SQL and Python for quality validation and automation Working with cloud-native data stacks: BigQuery, Redshift, GCS, S3 Data quality monitoring tools or frameworks (e.g., Dataplex, Lightup, Collibra) Strong troubleshooting skills across distributed data systems and pipelines. Bachelor’s degree in Computer Science, Information Systems, or related field. Preferred Experience: Experience in Retail or Quick Service Restaurant (QSR) environments with high-volume data ingestion and reporting requirements. Familiarity with data governance platforms (e.g., Collibra) and integration of quality rules into metadata models. Exposure to AI/ML data pipelines and the impact of data quality on model performance. Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work hours: Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable[LG1] accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment. Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Quality Lead:(Sr Manager, Data Operations & Management_G5_EDAA0610) As the Data Quality Lead, you will define and drive the enterprise-wide strategy for data quality management—ensuring that data is accurate, consistent, and trustworthy across the analytics and AI/ML ecosystem. This role combines strategic leadership with technical execution, overseeing quality frameworks, tooling, and cross-functional processes that ensure data integrity across cloud-native platforms such as GCP, AWS, BigQuery, and Redshift. You will collaborate closely with data governance, engineering, and business teams to embed data quality into the core of operational and analytical systems. Who we’re looking for: Primary Responsibilities: Data Quality Strategy & Leadership Define and lead the implementation of enterprise data quality frameworks, standards, and operating models. Establish and track data quality KPIs, thresholds, and remediation SLAs across domains and business functions. Champion a data quality mindset across the organization by partnering with data owners, stewards, and executives. Cloud Platform & Data Ecosystem Integration Design and oversee quality frameworks across GCP (BigQuery, GCS) , AWS (Redshift, S3) , and hybrid environments. Integrate data quality validation and monitoring into data ingestion, transformation, and AI/ML pipelines. Oversee automation and observability for data quality using tools like Airflow , Cloud Composer , and CI/CD pipelines . Tooling & Automation Lead the evaluation, implementation, and expansion of data quality tools (e.g., Dataplex, Lightup, Collibra, or custom frameworks). Integrate data quality metrics and rules with Collibra or similar governance platforms for lineage, stewardship, and policy enforcement. Ensure quality rules are version-controlled, modular, and adaptable for new data domains. Operations & Incident Management Oversee enterprise processes for data anomaly detection, triage, root cause analysis, and resolution. Coordinate quality audits, incident reviews, and continuous improvement programs with data engineering and analytics teams. Ensure compliance with internal standards and external regulations (e.g., GDPR, CCPA, HIPAA). Team Leadership & Collaboration Lead a team of data quality engineers and analysts to implement and scale quality controls. Collaborate with data governance, data engineering, AI/ML, and domain owners to embed quality into product and platform development. Present strategic insights, trends, and risks to senior leadership and data councils. Skill: 8+ years of experience in data quality , data governance , or data operations , with at least 3 years in a leadership role. Proven experience with: Data quality tooling and validation frameworks Cloud-native environments: GCP (BigQuery, GCS) and AWS (Redshift, S3) Scripting in SQL and Python for custom checks, validation jobs, and automation Data quality integration with governance platforms such as Collibra Strong analytical and problem-solving skills, particularly in diagnosing and preventing data integrity issues. Bachelor's or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. Preferred Experience: Experience in Retail or Quick Service Restaurant (QSR) environments where trusted data is critical for real-time decisions. Familiarity with AI/ML pipelines and how upstream data quality affects model performance. Understanding of data mesh , domain-based ownership , and federated data quality models . Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work hours: Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable[LG1] accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment. Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Manager, Data Visualization & Business Intelligence McDonald’s is in search of an experienced Data Application Architect with proficiency in Business Intelligence (BI) tools such as Tableau, MicroStrategy, and Power BI. The ideal candidate will exhibit proficiency in deploying and managing BI tools on AWS cloud (now GCP) and providing technical leadership across the full life cycle of BI solution development and deployment. In this role, you will provide BI tool administration, conduct solution reviews, recommend new BI tools, and effectively communicate with a diverse team – data architects, BI developers, data engineers, and product owners. Your dedication to continuous BI improvements will contribute significantly to the effectiveness of our data-driven initiatives. Who we’re looking for: Primary Responsibilities: Play a pivotal role in designing, developing, and maintaining McDonald’s business intelligence capabilities using Tableau, MicroStrategy, and Power BI. (Looker) Review dashboard and report design, evaluate and recommend performance optimizations, and provide guidance to developers based on standards and best practices. Guide BI software upgrades, collaborate on testing new functionalities, and maintain enterprise security standards. Migrate content between environments. Administer both Production and non-Production environments across verticals areas, including sizing and capacity scoping when required. Should have leadership and senior-level stakeholder management skills. Provide expertise and thought leadership for new BI tool evaluations and enabling new BI capabilities. Create, deploy, and manage BI data source connectors, BI semantic layer, and business metrics. Manage BI role-based data access security and SSO BI tool integration. Skill: Bachelor's degree in information technology, or a related field. 6+ years of experience building and deploying BI dashboards, visualizations, and analytical reports utilizing Tableau, MicroStrategy, or PowerBI. (Looker) 4+ years coding advance SQL and experience with database technologies like Redshift, Snowflake, Databricks, or Big Query. 4+ years of experience as a BI architect or administrator for Tableau, MicroStrategy, or Power BI. 4+ years of experience with cloud services like GCP or AWS, – GCP preferred. AWS, GCP, Tableau, MicroStrategy, or Power BI certifications. Preferred Skills: Ability to make the appropriate BI design and tools selection recommendations based on project requirements and best practices. Domain Knowledge: Understanding of the industry and business processes to translate business requirements into BI solutions. Deep knowledge of Tableau Creator, Explorer, Viewer, and Tableau Server capabilities. Excellent written, verbal, and meeting facilitation skills. Strong analytical and critical thinking skills. Self-driven with ability to set priorities and mentor others in a performance driven environment. Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, color, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment. 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About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Sr Manager, Data Visualization & Business Intelligence McDonald’s is in search of an experienced Data Application Architect with proficiency in Business Intelligence (BI) tools such as Tableau, Microstrategy, and Power BI. The ideal candidate will exhibit proficiency in deploying and managing BI tools on AWS cloud (now GCP) and providing technical leadership across the full life cycle of BI solution development and deployment. In this role, you will provide BI tool administration, conduct solution reviews, recommend new BI tools, and effectively communicate with a diverse team – data architects, BI developers, data engineers, and product owners. Your dedication to continuous BI improvements will contribute significantly to the effectiveness of our data-driven initiatives. Who we’re looking for: Primary Responsibilities: Play a pivotal role in designing, developing, and maintaining McDonald’s business intelligence capabilities using Tableau, MicroStrategy, and Power BI. (Looker) Review dashboard and report design, evaluate and recommend performance optimizations, and provide guidance to developers based on standards and best practices. Guide BI software upgrades, collaborate on testing new functionalities, and maintain enterprise security standards. Migrate content between environments. Administer both Production and non-Production environments across verticals areas, including sizing and capacity scoping when required. Should have leadership and senior-level stakeholder management skills. Provide expertise and thought leadership for new BI tool evaluations and enabling new BI capabilities. Create, deploy, and manage BI data source connectors, BI semantic layer, and business metrics. Manage BI role-based data access security and SSO BI tool integration. Should have leadership and senior-level stakeholder management skills. Skill: Bachelor's degree in information technology, or a related field. 8+ years of experience building and deploying BI dashboards, visualizations, and analytical reports utilizing Tableau, MicroStrategy, or PowerBI. (Looker) 6+ years coding advance SQL and experience with database technologies like Redshift, Snowflake, Databricks, or Big Query. 6+ years of experience as a BI architect or administrator for Tableau, MicroStrategy, or Power BI. 6+ years of experience with cloud services like GCP or AWS, – GCP preferred. AWS, GCP, Tableau, MicroStrategy, or Power BI certifications. Preferred Skills: Ability to make the appropriate BI design and tools selection recommendations based on project requirements and best practices. Domain Knowledge: Understanding of the industry and business processes to translate business requirements into BI solutions. Deep knowledge of Tableau Creator, Explorer, Viewer, and Tableau Server capabilities. Excellent written, verbal, and meeting facilitation skills. Strong analytical and critical thinking skills. Self-driven with ability to set priorities and mentor others in a performance driven environment. Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, color, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment. 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About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe Position Summary: Design, develop, and maintain platform solutions to ensure seamless integration, performance, and security of technological components. Who we’re looking for: Primary Responsibilities: Design and implement robust platform solutions. Monitor and optimize platform performance. Ensure security and compliance of platform services. Collaborate with cross-functional teams for platform enhancements. Document platform specifications and usage guidelines. Provide technical support and troubleshooting for platform issues. Facilitate platform training and enablement sessions. Coordinate with IT teams for system updates and maintenance. Implement and manage data transfer protocols. Support data analytics and reporting functions. Skill: 3+ years of experience in platform engineering or related fields. Proficiency in API management and data transfer technologies. Strong problem-solving and analytical skills. Experience with cloud platforms and infrastructure. Educational background in Computer Science, Information Technology, or a related field. GCP/AWS certification is preferred Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, color, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment. Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Platform Support / Platform Engineer III As a Data Platform Support Engineer, you will design, implement, and maintain scalable and secure platform services that enable efficient data transfers, API integrations, and platform operations across the enterprise. You will play a critical role in ensuring the performance, reliability, and security of data pipelines and platform services that power decision-making, reporting, and advanced data products—particularly in high-volume, fast-paced global environments. Who we’re looking for: Primary Responsibilities: Platform Operations & Support: Design, implement, and maintain secure and efficient platform solutions to support APIs, data transfers, and analytics workflows. Monitor platform health, optimize for performance and uptime, and implement diagnostic and observability practices. Provide Level 2/3 technical support for platform services to minimize disruption and accelerate issue resolution. Support platform upgrades, releases, and maintenance activities to ensure seamless user experiences. Security, Compliance & Governance: Ensure secure handling of data across transfer and integration processes, adhering to enterprise security and compliance standards. Implement and manage data transfer protocols (e.g., SFTP, API-based integrations) in a secure and auditable manner. Enablement & Documentation: Contribute to platform documentation, standards, and usage guidelines to drive user enablement and platform adoption. Support training sessions and user onboarding for platform services and tools. Collaboration & Delivery: Partner with engineering, product, and analytics teams to support platform initiatives and enhance system integration. Collaborate on continuous improvement initiatives to support analytics-ready data delivery across domains and markets. Skills: 5+ years of experience in platform engineering, data infrastructure, or API/data transfer operations. Deep expertise in: Data orchestration and batch processing tools (e.g., Airflow, Dataflow, Composer preferred). Secure data transfer protocols and integration patterns (e.g., SFTP, APIs, event-driven transfers). SQL for platform diagnostics and performance analytics. Python for automation, scripting, and platform utilities. Hands-on experience with cloud-native environments (preferably GCP or AWS), infrastructure-as-code (e.g., Terraform, Ansible), and DevOps practices. Strong problem-solving and analytical skills with a focus on operational excellence. Demonstrated ability to collaborate across cross-functional technical teams. Strong communication and stakeholder engagement skills. Bachelor’s degree in Computer Science, Information Systems, or a related technical field. GCP/AWS certification is preferred Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, color, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment. Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Platform Engineering & Enablement Services Lead / Sr Manager, Platform Engineer As the Platform Engineering & Enablement Services Lead/ Sr. Manager you will be responsible for driving the reliability, performance, and enablement of platform services that support secure data operations and analytics workflows across the enterprise. You will lead a team that designs, builds, and supports the infrastructure and tools necessary for seamless data movement, integration, and user enablement—ensuring agility, compliance, and operational excellence at scale. Who we’re looking for: Primary Responsibilities: Platform Operations & Engineering Design, implement, and maintain high-performing batch processing and file transfer systems across the enterprise. Monitor and tune platform performance to ensure availability, reliability, and cost-effectiveness. Partners with IT and infrastructure teams to plan and coordinate system updates, patching, and platform upgrades. Enablement & User Support Develop platform enablement services including onboarding, documentation, knowledge bases, and office hours. Facilitate training sessions and create self-service models to improve platform usability and adoption. Provide Tier 2/3 support for platform-related issues and coordinate escalations where needed. Security & Governance Ensure platform services meet internal and external security, privacy, and compliance standards (e.g., SOC2, PCI, GDPR). Manage secure data transfer protocols and implement robust access control mechanisms. Cross-Functional Collaboration Act as a liaison between platform engineering, data analytics, architecture, and security teams to ensure alignment. Drive platform automation, CI/CD enablement, and developer productivity initiatives across teams. Documentation & Standards Maintain comprehensive documentation of platform configurations, best practices, and incident runbooks. Standardize engineering processes to support consistency, observability, and ease of scaling across environments. Skill: 8+ years of experience in platform engineering, infrastructure operations, or enterprise systems enablement. Strong technical expertise in: Batch processing frameworks and orchestration tools (e.g., Airflow, Composer, Dataflow) Proficiency in infrastructure scripting for cloud services e.g. Terraform Secure data movement protocols (e.g., SFTP, APIs, messaging queues) Infrastructure engineering, networking, and system integration Proficiency in SQL and Python for troubleshooting, scripting, and platform automation Demonstrated experience in designing and supporting platform services in cloud-native environments (GCP or AWS preferred). Proven leadership in managing technical teams and platform support functions. Excellent communication, cross-team collaboration, and stakeholder management skills. Bachelor's or Master's degree in Computer Science, Information Systems, or related field. Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, color, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment. 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About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: We’re seeking a hands-on Platform Engineer to support our enterprise data integration and enablement platform. As a Platform Engineer III, you’ll be responsible for designing, maintaining, and optimizing secure and scalable data movement services—such as batch processing, file transfers, and data orchestration. This role is essential to ensuring reliable data flow across systems to power analytics, reporting, and platform services in a cloud-native environment. Who we’re looking for: Primary Responsibilities: Hands-On Data Integration Engineering Build and maintain data transfer pipelines, file ingestion processes, and batch workflows for internal and external data sources. Configure and manage platform components that enable secure, auditable, and resilient data movement. Automate routine data processing tasks to improve reliability and reduce manual intervention. Platform Operations & Monitoring Monitor platform services for performance, availability, and failures; respond quickly to disruptions. Tune system parameters and job schedules to improve throughput and processing efficiency. Implement logging, metrics, and alerting to ensure end-to-end observability of data workflows. Security, Compliance & Support Apply secure protocols and encryption standards to data transfer processes (e.g., SFTP, HTTPS, GCS/AWS). Support compliance with internal controls and external regulations (e.g., GDPR, SOC2, PCI). Collaborate with security and infrastructure teams to manage access controls, service patches, and incident response. Troubleshooting & Documentation Investigate and resolve issues related to data processing failures, delays, or quality anomalies. Document system workflows, configurations, and troubleshooting runbooks for team use. Provide support for platform users and participate in on-call rotations as needed. Skill: 5+ years of hands-on experience in data integration , platform engineering , or infrastructure operations . Proficiency in: Designing and supporting batch and file-based data transfers Python scripting and SQL for diagnostics, data movement, and automation Terraform scripting and deploying of infrastructure cloud services Working with GCP (preferred) or AWS data analytics services, such as: GCP: Cloud Storage, BigQuery, Cloud Composer, Pub / Sub, Dataflow AWS: S3, Glue, Redshift, Athena, Lambda, EventBridge, Step Functions Cloud-native storage and compute optimization for data movement and processing Infrastructure-as-code and CI/CD practices (e.g., Terraform, Ansible, Cloud Build, GitHub Actions) Strong analytical and debugging skills for troubleshooting issues in distributed, high-volume environments. Bachelor's degree in computer science, Information Systems, or a related technical field. Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, color, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment. 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About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Platform Lead / Sr Manager, Platform Engineer As the Data Platform Lead/ Sr Manager, Platform Engineer , you will be responsible for leading the design, scalability, and reliability of the enterprise data analytics platform. You will drive secure, efficient, and resilient data transfer and platform enablement services across a global organization. This role is pivotal in ensuring that analytics-ready data is accessible, governed, and delivered at scale to support decision-making, reporting, and advanced data products—particularly in high-volume, fast-paced environments like retail or QSR. Who we’re looking for: Primary Responsibilities: Platform Strategy & Operations Architect and manage scalable batch processing and data transfer pipelines to serve enterprise-wide analytics use cases. Continuously monitor platform health and optimize for performance, cost efficiency, and uptime. Implement platform observability, diagnostics, and incident response mechanisms to maintain service excellence. Security, Compliance & Governance Ensure secure handling of data across ingestion, transfer, and processing stages, adhering to enterprise and regulatory standards. Establish protocols for secure, compliant, and auditable data movement and transformation. Enablement & Support Provide Level 2/3 technical support for platform services, minimizing disruption and accelerating issue resolution. Drive user enablement by leading documentation efforts, publishing platform standards, and hosting training sessions. Collaborate with key business stakeholders to improve platform adoption and usability. Collaboration & Delivery Partner with product, engineering, and analytics teams to support data initiatives across domains and markets. Ensure the platform supports reliable analytics workflows through automation, integration, and governed data access. Oversee platform releases, upgrades, and maintenance activities to ensure minimal downtime and seamless user experience. Skills: 8+ years of experience in platform engineering, data infrastructure, or analytics technology environments. Deep expertise in: Batch processing and data orchestration tools (e.g., Airflow, Dataflow, Composer) Secure data transfer protocols (e.g., SFTP, API-based, event streaming) Advanced SQL for diagnostics and analytics enablement Python for automation, scripting, and platform utilities Experience with cloud-native platforms (preferably GCP or AWS), including infrastructure-as-code (leveraging Terraform and Ansible) and DevOps tooling. Proven leadership of cross-functional technical teams delivering high-scale, high-availability platform solutions. Excellent collaboration, communication, and stakeholder engagement skills. Bachelor's or Master’s degree in Computer Science, Information Systems, or a related technical field. GCP/AWS certification is preferred Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, color, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment. 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About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Accessibility Lead:(Sr Manager, Data Operations & Management_G5_EDAA0488_EDAA0489) As the Data Accessibility Lead, you will drive the enterprise-wide strategy for enabling secure, governed, and scalable access to data for AI/ML, analytics, and business operations. You will lead cross-functional teams responsible for managing data lifecycle, enforcing data quality standards, and implementing modern governance tooling such as Collibra. This role is pivotal to operationalizing data accessibility across cloud platforms like GCP and AWS, including BigQuery, Redshift, and other core data infrastructure. Who we’re looking for: Primary Responsibilities: Strategic Data Accessibility Leadership Set the strategic direction for enterprise data accessibility, ensuring consistent and secure access across teams and platforms. Lead the implementation and adoption of data governance tools (e.g., Collibra ) to manage metadata, lineage, and data policies. Champion enterprise adoption of semantic and technical metadata practices for improved discoverability and data use. AI/ML Enablement Oversee the availability, quality, and governance of data used for AI/ML model development and lifecycle management . Ensure that model training, validation, and deployment pipelines have reliable and timely access to governed datasets. Partner with MLOps, engineering, and product teams to embed data accessibility standards in model workflows. Cloud Platform Integration Oversee data accessibility initiatives in GCP and AWS , including integration with BigQuery , Redshift , and cloud-native storage. Develop strategies for managing access controls, encryption, and auditability of data assets across cloud environments. Data Governance & Quality Oversight Define and enforce enterprise data quality standards , including data profiling, validation, and exception handling workflows. Ensure compliance with internal data policies and external regulations (e.g., GDPR, HIPAA, CCPA). Lead enterprise initiatives around data lifecycle management , from ingestion and processing to archival and retention. Cross-Functional Collaboration & Leadership Lead and mentor a team of data operations professionals and collaborate with data engineering, governance, AI/ML, and compliance teams. Provide executive-level insights and recommendations for improving enterprise data accessibility, quality, and governance practices. Drive alignment between business units, technical teams, and compliance functions through effective data stewardship. Skill: 8+ years of experience in data operations , data governance , or data quality management , with at least 3 years in a strategic leadership capacity. Strong hands-on and strategic experience with: Collibra or similar data governance platforms Cloud platforms : Google Cloud Platform (GCP), Amazon Web Services (AWS) Enterprise data warehouses such as Big Query , Redshift , or Snowflake AI/ML model lifecycle support and MLOps integration Data quality frameworks, metadata management, and data access policy enforcement SQL Strong analytical and problem-solving skills; ability to work across highly matrixed, global organizations. Exceptional communication, leadership, and stakeholder management skills. Bachelor’s or master’s degree in data science, Information Systems, or a related field. Preferred Experience: Experience in Retail or Quick Service Restaurant (QSR) environments with operational and real-time analytics needs. Familiarity with data mesh concepts, data product ownership, and domain-based accessibility strategies. Experience navigating privacy, residency, or regulatory compliance in global data environments. Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment. Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: The Senior Manager of Data Engineering Excellence leads and manages high-performing data engineering teams, solve key enterprise data problems for Global & Local markets, ensuring the delivery of robust, scalable, and secure data systems aligned with business goals. This role drives operational efficiency, standardization, data accessibility, and solves complex data problems (business; operational, transactional). It requires strong technical leadership, team development, and the ability to influence strategic direction across the data engineering domain. Expertise in cloud computing platforms, technologies and data engineering best practices will be crucial for this role. Who we’re looking for: Primary Responsibilities: Oversee the design and implementation of scalable data systems to ensure efficient data flow and accessibility. Develop strategies for scaling data products across the organization, ensuring solutions are adaptable and future-ready Identify and implement process improvement opportunities and modernize data engineering practices. Act as the technical subject matter expert (SME) for development squads, providing guidance on architecture, design, and best practices Ensure data quality and integrity through audits, validation processes, and governance frameworks. Collect feedback from business stakeholders and end-users to continuously improve data products and align with evolving business requirements. Collaborate with cross-functional teams to ensure data solutions are aligned with business and analytical needs. Lead and manage a team of data engineers, providing mentorship, guidance, and technical direction. Allocate resources across development teams based on project needs and strategic priorities to maximize efficiency and impact across multiple initiatives. Ensure comprehensive documentation for each data product, covering technical specifications, use cases, and performance metrics Stay updated with emerging technologies, trends in data engineering and bring relevant advancements / adoption of tools that enhance product development and delivery. Regularly report on portfolio progress, performance metrics, and project statuses to executive leadership and key stakeholders. Define OKRs and KPIs for EA data, analytics and AI foundations practice and drive measurable outcomes. Conduct performance reviews, coach team members, and support career development initiatives. Facilitate ongoing training and upskilling for the data engineering team to build future-ready capabilities. Ability and flexibility to coordinate and work with teams distributed across time zones, as needed. Skill: Provides technical leadership and drives operational excellence across data engineering Bachelor's degree or higher in Computer Science, Engineering, or a related field 8+ years of professional experience in data engineering or related domains 4+ years of AWS or GCP experience Proficient in programming languages (e.g., Python, Java, Scala) and data pipeline orchestration (e.g., Apache Airflow, Luigi) Strong experience with distributed systems, big data platforms, and data storage technologies (e.g., Hadoop, Spark, NoSQL) Strong knowledge in data architecture, cloud platforms, data pipelines, and software development best practices Proven success in managing and scaling data engineering teams in complex environments Ability to convey complex technical concepts to non-technical stakeholders and report on project progress effectively Ability to manage ad hoc demands along with organizational priorities and set realistic expectations. A self-initiated influencer, Systems thinker and strong stakeholder management. Exceptional problem-solving and innovation skills with a strategic mindset. Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Show more Show less