1386 Data Governance Jobs - Page 20

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Business AgilityMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Additionally, you will monitor and optimize data workflows to enhance performance and reliability, ensuring that data is accessible and actionable for stakeholders. Roles & Responsibilities:- Need Databricks resource with Azure cloud experience- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with data architects and analysts to design scalable data solutions.- Implement best practices for data governance and security throughout the data lifecycle. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Business Agility.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Your day will involve working on data architecture and collaborating with cross-functional teams to optimize data processes. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead data modeling initiatives to design and implement data structures.- Optimize data storage and retrieval processes.- Develop and maintain data pipelines for efficient data flow. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of database management systems.- Experience with data warehousing and ETL processes.- Knowledge of data governance and compliance.- Hands-on experience with data visualization tools. Additional Information:- The candidate should have a minimum of 12 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Bengaluru office.PFB Education details- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process and ensuring seamless communication within the team and stakeholders. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process effectively- Ensure seamless communication within the team and stakeholders Professional & Technical Skills: (MDG Technical Role)- Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool- Strong understanding of data governance principles- Experience in configuring and customizing SAP MDG Tool- Knowledge of data modeling and data quality management- Hands-on experience in leading application development projects Additional Information:- The candidate should have a minimum of 5 years of experience in SAP Master Data Governance MDG Tool- This position is based at our Pune office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Business AgilityMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Additionally, you will monitor and optimize data workflows to enhance performance and reliability, ensuring that data is accessible and actionable for stakeholders. Roles & Responsibilities:- Need Databricks resource with Azure cloud experience- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with data architects and analysts to design scalable data solutions.- Implement best practices for data governance and security throughout the data lifecycle. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Business Agility.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP BusinessObjects Data Services Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Looking for BODS Admin to perform Admin activities.As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process and ensuring successful project delivery. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process effectively- Ensure timely project delivery- Provide guidance and mentorship to team members Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP BusinessObjects Data Services- Strong understanding of data integration and ETL processes- Experience in designing and implementing data migration strategies- Knowledge of data quality management and data governance practices Additional Information:- The candidate should have a minimum of 5 years of experience in SAP BusinessObjects Data Services- This position is based at our Indore office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Business AgilityMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Additionally, you will monitor and optimize data workflows to enhance performance and reliability, ensuring that data is accessible and actionable for stakeholders. Roles & Responsibilities:- Need Databricks resource with Azure cloud experience- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with data architects and analysts to design scalable data solutions.- Implement best practices for data governance and security throughout the data lifecycle. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Business Agility.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Business AgilityMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Additionally, you will monitor and optimize data workflows to enhance performance and reliability, ensuring that data is accessible and actionable for stakeholders. Roles & Responsibilities:- Need Databricks resource with Azure cloud experience- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with data architects and analysts to design scalable data solutions.- Implement best practices for data governance and security throughout the data lifecycle. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Business Agility.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Architecture Principles Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Your day will involve working on various data-related tasks and collaborating with teams to optimize data processes. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Develop innovative data solutions to meet business requirements.- Optimize data pipelines for efficiency and scalability.- Implement data governance policies to ensure data quality and security. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Architecture Principles.- Strong understanding of data modeling and database design.- Experience with ETL tools and processes.- Knowledge of cloud platforms and big data technologies.- Good To Have Skills: Data management and governance expertise. Additional Information:- The candidate should have a minimum of 12 years of experience in Data Architecture Principles.- This position is based at our Bengaluru office.Education information - - A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : NA Educational Qualification : 15 years of full time education Summary :As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your day will involve collaborating with team members to perform maintenance and enhancements, ensuring that the applications meet the evolving needs of users and stakeholders. You will also be responsible for troubleshooting issues and implementing solutions to improve application performance and reliability, contributing to the overall success of the projects you are involved in. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of milestones. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool.- Strong understanding of data governance principles and practices.- Experience with application development methodologies such as Agile or Scrum.- Familiarity with integration techniques and tools related to SAP systems.- Ability to troubleshoot and resolve technical issues efficiently. Additional Information:- The candidate should have minimum 5 years of experience in SAP Master Data Governance MDG Tool.- This position is based at our Pune office.- A 15 years of full time education is required. Qualification 15 years of full time education

Skill required: Data Management - Microsoft Fabric Designation: Data Eng, Mgmt & Governance Assoc Mgr Qualifications: BE/BTech Years of Experience: 10 to 14 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AIEnd to end, unified analytics platform that brings together existing offerings like Data Factory, Synapse, and Power BI into a single unified product for all your data and analytics workloads. What are we looking for Microsoft Fabric Microsoft Azure PySparkStrong analytical skillsAbility to establish strong client relationshipAbility to manage multiple stakeholdersAbility to perform under pressure Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally, interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification BE,BTech

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : NA Educational Qualification : 15 years of full time education Summary :As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your day will involve collaborating with team members to perform maintenance and enhancements, ensuring that the applications meet the evolving needs of users and stakeholders. You will also be responsible for troubleshooting issues and implementing solutions to improve application performance and reliability, contributing to the overall success of the projects you are involved in. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior professionals to foster their growth and development. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool.- Strong understanding of data modeling and data governance principles.- Experience with application development methodologies and best practices.- Familiarity with integration techniques and tools related to SAP systems.- Ability to troubleshoot and resolve complex technical issues. Additional Information:- The candidate should have minimum 7.5 years of experience in SAP Master Data Governance MDG Tool.- This position is based at our Bengaluru office.- A 15 years of full time education is required. Qualification 15 years of full time education

for Secure & Responsible Data Controls Senior Manager Position Title: Secure & Responsible Data Controls Senior Manager Corporate Functions Location: Pan India ( Bangalore/Gurgaon Preferred) Employment Type: Full Time Must have skills Data Governance, Data Security, Data Privacy, Ethical Data Usage, Regulatory Compliance, Stakeholder Management, Communication, Change Management, Project Management Good to have skills Experience with Data Governance Tools (e.g., Collibra, Alation), Familiarity with Industry Regulations (GDPR, CCPA, HIPAA, SOC 2) Job Summary As a Secure & Responsible Data Controls Lead , you will define and implement permissibility standards for novel data use cases, ensuring legal, regulatory, ethical, and security compliance. You will build and maintain a central repository for these guidelines, collaborating with cross-functional teamsincluding business, legal, and ITto uphold responsible data usage practices. This role also involves driving the establishment of data security/privacy protocols, ethical usage guidelines, and governance processes, all while aligning with relevant regulations and mitigating associated risks. The Secure & Responsible Data Controls Lead will serve as both a strategic advisor and hands-on leader, partnering with multiple teams to create, maintain, and enforce robust frameworks for data usage, privacy, and regulatory compliance. Key Roles & Responsibilities Standards & Repository Management Develop and maintain clear, centralized guidelines that cover legal, regulatory, ethical, and security considerations for data use cases. Update the repository regularly to reflect changes in regulations, organizational policies, and emerging data practices. Collaboration & Compliance Work closely with business, legal, IT, and data teams to ensure all data usage aligns with data protection regulations and organizational policies. Perform risk assessments, recommending solutions to mitigate potential compliance gaps in data practices. Security, Ethics & Governance Leadership Establish and enforce data security/privacy protocols (e.g., encryption, anonymization, access controls), advocating for ethical data usage. Create and deliver training programs to educate stakeholders on compliance, risk management, and responsible data practices. Project Management & Change Adoption Lead cross-functional projects, coordinating timelines, resources, and deliverables for data security and privacy initiatives. Drive change management efforts, ensuring stakeholder buy-in and long-term adoption of secure and responsible data controls. Professional & Technical Skills Expertise in Data Security & Privacy Deep understanding of core concepts such as encryption, access controls, and anonymization. Hands-on experience with governance tooling, plus knowledge of creating and managing a repository of policies and guidelines. Ethical & Regulatory Alignment Skilled in interpreting complex regulations (GDPR, CCPA, HIPAA, SOC 2) and translating them into actionable, organization-wide practices. Strong ethical orientation, ensuring data usage reflects both legal requirements and company values. Stakeholder Engagement & Leadership Exceptional communication and negotiation skills for aligning cross-functional teamsincluding executiveson security and privacy objectives. Proven track record of delivering results in a matrixed environment, balancing stakeholder interests and project constraints. Organizational & Proactive Mindset Detail-oriented approach, adept at identifying potential risks early and implementing proactive measures. Demonstrated ability to drive continuous improvement, regularly refining processes to enhance secure and responsible data usage. About Our Company | Accenture Qualification Experience 10+ years in data governance, data privacy, or compliance-related roles Educational Qualification Bachelors or Masters degree in Information Management, Data Science, Law, Business Administration, or a related field

SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce, ensuring workers have the right access to do their job - no more, no less. Built on a foundation of AI and ML, our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time matching the scale, velocity, and changing needs of today s cloud-oriented, modern enterprise. About the role: We are seeking a dynamic and experienced Director of Data Governance and Operations to lead our data governance and data quality initiatives . Reporting to the VP of IT, this leadership role will be pivotal in driving data-driven decision-making across our Go-To-Market (GTM) operations and Finance organizations. The ideal candidate will possess a deep passion for data governance, a proven track record of developing and executing successful data quality strategies, and a strong understanding of how data fuels AI innovation. Essential Duties and Responsibilities Develop and champion a comprehensive data strategy aligned with SailPoint s overall business objectives , with a particular focus on GTM and Finance. Establish and maintain a robust data governance framework, including policies, standards, and procedures, to ensure data quality, accuracy, and compliance. Partner with GTM and Finance leadership to identify data needs, develop data solutions, and drive the adoption of data-driven insights to improve performance. Lead efforts to monitor and improve data quality across key systems and data sources, implementing data cleansing and validation processes. Ensure data readiness for AI initiatives, collaborating with Enterprise Applications and D ata E ngineering teams to prepare and structure data for AI model development and deployment. Salesforce Expertise: Leverage in-depth knowledge of Salesforce to optimize data management, reporting, and analytics within the platform. Build, mentor, and manage a high-performing team of data professionals, fostering a culture of collaboration, innovation, and continuous improvement. Collaborate effectively with stakeholders across IT, GTM, Finance, and other departments to ensure alignment on data strategy and priorities. Stay abreast of emerging trends in data management, AI, and analytics, and identify opportunities to leverage new technologies to enhance SailPoint s data capabilities. Required Qualifications 15 + years of experience in data management, data governance, or data strategy roles, with increasing levels of responsibility. Proven track record of developing and executing successful data strategies for GTM operations and Finance. Strong experience with Master Data Management (MDM) Deep understanding of data governance principles , practices , tools, and technologies. In-depth knowledge of Salesforce data model, reporting, and analytics capabilities. Experience with Salesforce administration. Strong understanding of AI and machine learning concepts, and the importance of data readiness for AI. Excellent leadership, communication, and interpersonal skills. Ability to influence and collaborate effectively with stakeholders at all levels of the organization. Experience building and managing high-performing teams. Strong analytical and problem-solving skills. Salesforce certifications are highly desirable. Bachelor s degree in a relevant field (e.g., Computer Science, Data Science, Business Analytics). What success looks like 30-Day Plan (Orientation and Integration): Objective: Establish foundational knowledge and integrate into the team. Training Learning: Intr oduction to SailPoint Enterprise Systems and Data Platform Review company policies, procedures, and compliance requirements Roles Responsibilities: Understand job expectations, key performance indicators (KPIs), and deliverables. Review IT team structure and individual roles Review GTM and Finance team structure and roles and responsibilities of key stakeholders Relationship Building: Meet team members, key stakeholders, and cross-department colleagues. Participate in onboarding activities and one-on-one meetings with IT leaders . Immediate Contributions: Assess and compile problem statement on data governance and data quality Assess and compile data flow diagrams for the key GTM and Finance metrics Assist with data requests to get familiar with SailPoint internal data needs , e.g. ACV/ARR Initiate recruiting of data analyst 60-Day Plan ( Data Leadership and Strategic Thinking ) Objective: Expertise on SailPoint business data and define strategy for data governance and data quality Establish structure and recurring cadence with key business stakeholders and IT system owners on data governance Define SailPoint Master Data and process to ensure data integrity Establish metrics to measure data quality Recommend industry best practice for data governance and data quality De fine roadmap Data Governance and MDM initiatives Data repository and metadata for AI Project Involvement: SailPoint ARR/ACV Reporting Data found ation for AI Team Building and Relationship Building : Complete recruiting of new data analyst Demonstrate ability to engage business and IT stakeholders and partnership on key data initiatives 90 -180 Day Plan ( Execution on Roadmap ) Objective: Establish leadership and make impact to key data initiatives Data Quality Complete the top 2 initiatives for data quality for Salesforce Data Governance and MDM Publish the master data definition and framework Collaborate with business stakeholders and IT system owners to implement system validation and business operations to ensure data integrity AI Collaborate with IT system owners and Data Engineering team to build metadata for AI consumption Deliver data for AI model training and AI search Validate the AI output to ensure accuracy

"Data/ETL Architect/Data Modeler: Develop conceptual, logical, and physical data models to ensure accurate, scalable, and optimized data structures aligned with business requirements. Collaborate with business and technical teams to define data flow, transformation rules, and ensure alignment with data governance and quality standards. Design end-to-end ETL architecture and data integration solutions. Technologies - SQL, ETL, Big Data, ERWIN" All you need is... A degree in Computer Science with at least 5 years proficiency with the whole software development lifecycle. At least 3 years of proven experience in software architecture will be considered an advantage. Experience with Microservices architecture. Experience with Java, Spring (i.e Cloud), Kubernetes. Knowledge or experience working with one of the public cloud providers (AWS, GCP, AZURE). Knowledge and experience with Linux. Passionate about engaging with new technologies. A self-learner. Confident presentation and interpersonal skills. Why you will love this job: You will be challenged with crafting high-level design while setting technical standards. You will have the opportunity to work with the industry most sophisticated technologies! Evolve yourself in the future and lead all aspects of a suite of products, develop a high-level design that connects several (heterogeneous) sub-systems, which together make up a whole system. We are a dynamic, multi-cultural organization that constantly innovates and empowers our employees to grow. Our people our passionate, daring, and phenomenal teammates that stand by each other with a dedication to creating a diverse, inclusive workplace! We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

KPMG India is looking for Manager - Data Governance to join our dynamic team and embark on a rewarding career journey Team Leadership: Manage and lead a team of employees, providing direction, guidance, and support to achieve departmental or organizational goalsPlanning and Strategy: Develop strategic plans, set goals, and create action plans to accomplish business objectivesOperations Management: Oversee day-to-day operations, ensuring efficient workflow, resource allocation, and adherence to policies and proceduresBudgeting and Financial Management: Manage budgets, allocate resources, monitor expenses, and contribute to financial planningPerformance Management: Set performance expectations, conduct performance evaluations, and provide coaching and feedback to team membersProject Management: Plan, execute, and monitor projects, ensuring timely completion, quality, and alignment with objectives

Job Description As a Senior Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results

Job Description As a Senior Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 5+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar fie

Job Description As a Lead Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar fiel

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Finance Job Details About Salesforce . As an ICM developer within Global Incentive Compensations (GIC), you will be responsible for developing, maintaining, and testing the systems used for compensating the Salesforce sales organization, as well as tools used by internal teams for their functions. We are seeking a talented and motivated individual with hands-on experience in Incentive Compensation Management (ICM) to join our team. The ideal candidate will possess both strong technical skills and functional expertise to design, evaluate, and develop systems and processes that meet business user requirements and comply with IT and Finance audit guidelines. Additionally, expertise in Salesforce Data Management, including creating scenarios and seeding data, will be essential for the role. The role will involve managing and optimizing our ICM platform, including customization, configuration, and integration of processes, alongside handling data management tasks within Salesforce. The candidate should have a good understanding of Salesforce administration and be capable of designing, implementing, and maintaining ICM solutions that drive effective sales compensation strategies. Key Responsibilities: ICM (Incentive Compensation Management): Understand incentive compensation models, including commission structures, bonus programs, and sales performance metrics within Salesforce. Strong experience with compensation systems (Spiff, Everstage, Captivate IQ, Varicent, or Xactly). Develop and test processes within Xactly Connect or other ETL tools to support movement of reference and transactional data. Provide regular analysis and insights into compensation plans, recommending improvements based on system data. Manage the sales compensation workflow, ensuring timely and accurate payments. ICM implementation experience. Salesforce Data Management: Conduct data imports/exports and cleanup activities as needed. Experience in Salesforce Administration, SOQL, Apex, JavaScript (Lightning), and VisualForce is preferable. Ensure data integrity and enforce best practices for data governance in Salesforce. Collaboration and Communication: Provide regular updates and reports to stakeholders about ICM performance. Stay current on best practices and emerging technologies in Salesforce administration and ICM management. Skills and Experience: A minimum of 3 years of experience is required, 3 to 5 years preferred. Degree in Computer Science, Information Systems, or equivalent industry experience in application and software development. Understanding of database infrastructure and concepts. Experience developing customer-facing interfaces. Good communication skills. Problem-solving ability for high-level software and application issues. Familiarity with Agile (scrum) framework is preferred Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactlyIt means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that s inclusive, and free from discrimination.

Years of Experience: 8+ Years Work Mode: Hybrid Overview: Join our team to drive enterprise LLM initiatives, combining expert-level LLM knowledge with strong security and data integration expertise. You will oversee the architecture, development, and deployment of advanced ML solutions that integrate Microsoft Teams, Copilot 365, and Azure data tools delivering secure and scalable outcomes across the organization. Key Responsibilities: Lead architectural design and development for enterprise LLM solutions, emphasizing expert-level proficiency with LLM Agents (highest priority). Ensure robust data security, leveraging strong knowledge of enterprise security practices. Configure and maintain both vector and structured databases, with solid hands-on experience in ETL pipelines. Oversee essential guardrails for LLMs, including basic observability, semantic layers, and model distillation for performance tuning. Coordinate role-based access controls (RBAC) and manage comprehensive data governance frameworks. Communicate complex technical strategies to executives, creating clear diagrams and abstractions. Guide cross-functional teams, balancing moderate risk-taking with innovative solution delivery. Required Skills Experience: Thorough expertise in LLM development and deployment (expert-level). Significant experience applying enterprise security best practices (strong knowledge). Proficiency in vector databases, structured datastores, and ETL workflows (solid experience). Familiarity with LLM observability, guardrails, semantic layers, and model distillation (basic working knowledge). Strong leadership and communication skills, with the ability to present to executives and abstract complex ideas. Comfortable driving projects independently, managing risk, and fostering collaboration. Preferred: Experience integrating Microsoft Teams, Copilot 365, Azure Data Factory/Synapse, and Dynamics 365/Dataverse. Demonstrated success in designing and implementing large-scale ML solutions in enterprise environments.

Project Role : Data Governance Practitioner Project Role Description : Establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. Must have skills : Snowflake Data Warehouse, RICEFW knowledge Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Governance Practitioner, you will establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Your typical day will involve collaborating with key stakeholders to define data standards, facilitating effective data collection, storage, access, and usage, and driving data stewardship initiatives for comprehensive and effective data governance. You will engage in discussions that shape the data governance framework and contribute to the overall data strategy of the organization. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development and implementation of data governance frameworks and policies.- Monitor compliance with data governance policies and report on data quality metrics. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data governance principles and best practices.- Experience with data quality assessment and improvement techniques.- Familiarity with data management tools and technologies.- Ability to communicate complex data concepts to non-technical stakeholders. Additional Information:- The candidate should have minimum 3 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Governance Practitioner Project Role Description : Establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. Must have skills : Collibra Data Governance Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Governance Practitioner, you will establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead data governance initiatives within the organization- Develop and implement data governance policies and procedures- Ensure compliance with data governance standards and regulations Professional & Technical Skills: - Must To Have Skills: Proficiency in Collibra Data Governance- Strong understanding of data governance principles- Experience in implementing data governance frameworks- Knowledge of data quality management- Familiarity with data privacy regulations Additional Information:- The candidate should have a minimum of 5 years of experience in Collibra Data Governance.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in shaping the data platform components. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of data platform solutions.- Conduct performance tuning and optimization of data platform components. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of cloud-based data platforms.- Experience in designing and implementing data pipelines.- Knowledge of data governance and security best practices. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Collibra Data Governance Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous improvement.- Monitor and evaluate team performance, providing constructive feedback to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Collibra Data Governance.- Strong understanding of data governance frameworks and best practices.- Experience with data integration tools and techniques.- Familiarity with data modeling concepts and methodologies.- Ability to analyze and interpret complex data sets to inform decision-making. Additional Information:- The candidate should have minimum 12 years of experience in Collibra Data Governance.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Job Summary: We are looking for a highly skilled AWS Data Architect to design and implement scalable, secure, and high-performing data architecture solutions on AWS. The ideal candidate will have hands-on experience in building data lakes, data warehouses, and data pipelines, along with a solid understanding of data governance and cloud security best practices. Roles and Responsibilities: Design and implement data architecture solutions on AWS using services such as S3, Redshift, Glue, Lake Formation, Athena, and Lambda. Develop scalable ETL/ELT workflows and data pipelines using AWS Glue, Apache Spark, or AWS Data Pipeline. Define and implement data governance, security, and compliance strategies, including IAM policies, encryption, and data cataloging. Create and manage data lakes and data warehouses that are scalable, cost-effective, and secure. Collaborate with data engineers, analysts, and business stakeholders to develop robust data models and reporting solutions. Evaluate and recommend tools, technologies, and best practices to optimize data architecture and ensure high-quality solutions. Ensure data quality, performance tuning, and optimization for large-scale data storage and processing Required Skills and Qualifications: Proven experience in AWS data services such as S3, Redshift, Glue, etc. Strong knowledge of data modeling, data warehousing, and big data architecture. Hands-on experience with ETL/ELT tools and data pipeline frameworks. Good understanding of data security and compliance in cloud environments. Excellent problem-solving skills and ability to work collaboratively with cross-functional teams. Strong verbal and written communication skills. Preferred Skills: AWS Certified Data Analytics – Specialty or AWS Solutions Architect Certification. Experience in performance tuning and optimizing large datasets.