1769 Data Architecture Jobs - Page 5

You are a highly experienced Principal Solution Architect responsible for leading the design, development, and implementation of sophisticated cloud-based data solutions for key clients. With deep technical expertise in multiple cloud platforms such as AWS, Azure, and GCP, as well as modern data technologies, your role is pivotal in shaping data strategies, driving innovation through GenAI and LLMs, and ensuring successful delivery of complex data projects across various industries. Your key responsibilities include leading the architecture and design of robust, scalable, and secure enterprise-grade data solutions like data lakes, data warehouses, data mesh, and real-time data pipelines on AWS, Azure, and GCP. Additionally, you will collaborate closely with clients to understand their business challenges, translate requirements into technical solutions, and present compelling data strategies. Supporting pre-sales activities, including proposal development and solution demonstrations, is also a crucial aspect of your role. Furthermore, you are expected to drive data and analytics modernization initiatives by leveraging cloud-native services, Big Data technologies, GenAI, and LLMs to deliver transformative business value. Applying data architecture best practices across various industries such as BFSI, Retail, Supply Chain, and Manufacturing is also a key part of your responsibilities. To qualify for this position, you should have at least 10 years of experience in IT, focusing on data architecture, solution architecture, and data engineering, with proven experience in a principal-level or lead architect role. Deep, hands-on experience with major cloud platforms like Azure (Microsoft Fabric, Data Lake, Power BI, Data Factory, Azure Purview) and GCP (Big Query, Vertex.AI, Gemini) is essential. Additionally, you should have expertise in integrating AI/ML capabilities, including GenAI and LLMs, into data solutions, strong leadership and communication skills, exceptional problem-solving abilities, and a Bachelor's or Master's degree in computer science, engineering, information technology, or a related field. Preferred qualifications include relevant certifications in AWS, Azure, GCP, Snowflake, or Databricks, as well as experience with Agentic AI and hyper-intelligent automation.,

This position provides leadership in full systems life cycle management (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.) to ensure delivery is on time and within budget. He/She directs component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements and ensure compliance. This position develops and leads AD project activities and integrations. He/She guides teams to ensure effective communication and achievement of objectives. This position researches and supports the integration of emerging technologies. He/She provides knowledge and support for applications development, integration, and maintenance. This position leads junior team members with project related activities and tasks. He/She guides and influences department and project teams. This position facilitates collaboration with stakeholders. Responsibilities: Leads systems analysis and design. Leads design and development of applications. Develops and ensures creation of application documents. Defines and produces integration builds. Monitors emerging technology trends. Leads maintenance and support. Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

Greetings!!! This is in regards to a Job opportunity for Data Architect with Datamatics Global Services Ltd. Position: Data Architect Website: https://www.datamatics.com/ Job Location: Mumbai(Andheri - Seepz)/Bangalore(Kalyani Neptune Bannerghatta Road) Job Description: Job Overview: We are seeking a Data Architect to lead end-to-end solutioning for enterprise data platforms while driving strategy, architecture, and innovation within our Data Center of Excellence (COE). This role requires deep expertise in Azure, Databricks, SQL, and Python, alongside strong pre-sales and advisory capabilities. The architect will serve as a trusted advisor, mentoring and guiding delivery teams, and defining scalable data strategies that align with business objectives. Key Responsibilities: Core Engineering Data Architecture & Solutioning - Design and implement enterprise-wide data architectures, ensuring scalability, security, and performance. - Lead end-to-end data solutioning, covering ingestion, transformation, governance, analytics, and visualization. - Architect high-performance data pipelines leveraging Azure Data Factory, Databricks, SQL, and Python. - Establish data governance frameworks, integrating Delta Lake, Azure Purview, and metadata management best practices. - Optimize data models, indexing strategies, and high-volume query processing. - Oversee data security, access controls, and compliance policies within cloud environments. - Mentor engineering teams, guiding best practices in data architecture, pipeline development, and optimization. Data COE & Thought Leadership - Define data architecture strategies, frameworks, and reusable assets for the Data COE. - Drive best practices, standards, and innovation across data engineering and analytics teams. - Act as a subject matter expert, shaping data strategy, scalability models, and governance frameworks. - Lead data modernization efforts, advising on cloud migration, system optimization, and future-proofing architectures. - Deliver technical mentorship, ensuring teams adopt cutting-edge data engineering techniques. - Represent the Data COE in industry discussions, internal training, and thought leadership sessions. Pre-Sales & Solution Advisory - Engage in pre-sales consulting, defining enterprise data strategies for prospects and existing customers. - Craft solution designs, architecture blueprints, and contribute to proof-of-concept (PoC) implementations. - Partner with sales and consulting teams to translate client needs into scalable data solutions. - Provide strategic guidance on Azure, Databricks, and cloud adoption roadmaps. - Present technical proposals and recommendations to executive stakeholders and customers. - Stay ahead of emerging cloud data trends to enhance solution offerings. Required Skills & Qualifications: - 15+ years of experience in data architecture, engineering, and cloud data solutions. - Proven expertise in Azure, Databricks, SQL, and Python as primary technologies. - Proficiency in other relevant cloud and data engineering tools based on business needs. - Deep knowledge of data governance, metadata management, and security policies. - Strong pre-sales, consulting, and solution advisory experience in enterprise data platforms. - Advanced skills in SQL optimization, data pipeline architecture, and high-scale analytics. - Leadership experience in mentoring teams, defining best practices, and driving thought leadership. - Expertise in Delta Lake, Azure Purview, and scalable data architectures. - Strong stakeholder management skills across technical and business domains. Preferred but Not Mandatory: - Familiarity with Microsoft Fabric and Power BI data accessibility techniques. - Hands-on experience with CI/CD for data pipelines, DevOps, and version control practices. Additional Notes: - The technologies listed above are primary but indicative. - The candidate should have the flexibility to work with additional tools and platforms based on business needs.

Do you want to help solve the world's most pressing challenges such as feeding the world's growing population and slowing climate change AGCO is looking for individuals to join them in making a difference. Currently, AGCO is seeking a Senior Manager, AI & Data Systems Architecture to lead the design, creation, and evolution of system architectures for AI, analytics, and data systems within the organization. As the Senior Manager, AI & Data Systems Architecture, you will collaborate with cross-functional teams, including data engineers, data scientists, and other IT professionals to create architectures that support cutting-edge AI and data initiatives. Your responsibilities will include leading the end-to-end architecture for AI and data systems, designing and implementing data infrastructure and AI platforms, championing cloud adoption strategies, and driving the continuous improvement and evolution of data and AI architectures to meet emerging business needs and industry trends. To qualify for this role, you should have a minimum of 10 years of experience in data architecture, AI systems, or cloud infrastructure, with at least 3-5 years in a leadership role. You should also possess deep hands-on experience with cloud platforms like AWS, Google Cloud Platform (GCP), and Databricks, as well as familiarity with CRM systems like Salesforce and AI systems within those solutions. Additionally, you should have expertise in data architecture, including data lakes, data warehouses, real-time data streaming, and batch processing frameworks. The ideal candidate will have strong leadership and communication skills, with the ability to drive architecture initiatives in a collaborative and fast-paced environment. A Bachelor's degree in Computer Science, Data Science, or a related field is required, while a Master's degree or relevant certifications such as AWS Certified Solutions Architect are preferred. AGCO offers a positive workplace culture that values inclusion and diversity, providing benefits such as health care and wellness plans, flexible work options, and opportunities for personal development and growth. If you are passionate about leveraging innovative technologies to make a positive impact and contribute to the future of agriculture, apply now to join AGCO in their mission.,

To Apply - Mandatory to submit Details via Google Form - https://forms.gle/cCa1WfCcidgiSTgh8 Position : Senior Data Engineer - Total 8+ years Required Relevant 6+ years in Databricks, AWS, Apache Spark & Informatica (Required Skills) As a Senior data Engineer in our team, youll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations Seeking experienced data Engineer to design, implement, and maintain robust data pipelines and analytics solutions using databricks & AWS services. The ideal candidate will have a strong background in data services, big data technologies, and programming languages. Role & responsibilities Technical Leadership: Guide and mentor teams in designing and implementing Databricks solutions. Architecture & Design: Develop scalable data pipelines and architectures using Databricks Lakehouse. Data Engineering: Lead the ingestion and transformation of batch and streaming data. Performance Optimization: Ensure efficient resource utilization and troubleshoot performance bottlenecks. Security & Compliance: Implement best practices for data governance, access control, and compliance. Collaboration: Work closely with data engineers, analysts, and business stakeholders. Cloud Integration: Manage Databricks environments on Azure, AWS, or GCP. Monitoring & Automation: Set up monitoring tools and automate workflows for efficiency. Qualifications: 6+ years of experience in Databricks, AWS and 4+ Apache Spark, and Informatica. Excellent problem-solving and leadership skills. Good to have these skills 1. Design and implement scalable, high-performance data pipelines using AWS services 2. Develop and optimize ETL processes using AWS Glue, EMR, and Lambda 3. Build and maintain data lakes using S3 and Delta Lake 4. Create and manage analytics solutions using Amazon Athena and Redshift 5. Design and implement database solutions using Aurora, RDS, and DynamoDB 6. Develop serverless workflows using AWS Step Functions 7. Write efficient and maintainable code using Python/PySpark, and SQL/PostgrSQL 8. Ensure data quality, security, and compliance with industry standards 9. Collaborate with data scientists and analysts to support their data needs 10. Optimize data architecture for performance and cost-efficiency 11. Troubleshoot and resolve data pipeline and infrastructure issues Preferred candidate profile (Good to have) 1. Bachelors degree in computer science, Information Technology, or related field 2. Relevant years of experience as a Data Engineer, with at least 60% of experience focusing on AWS 3. Strong proficiency in AWS data services: Glue, EMR, Lambda, Athena, Redshift, S3 4. Experience with data lake technologies, particularly Delta Lake 5. Expertise in database systems: Aurora, RDS, DynamoDB, PostgreSQL 6. Proficiency in Python and PySpark programming 7. Strong SQL skills and experience with PostgreSQL 8. Experience with AWS Step Functions for workflow orchestration Technical Skills: Good to have - AWS Services: Glue, EMR, Lambda, Athena, Redshift, S3, Aurora, RDS, DynamoDB , Step Functions - Big Data: Hadoop, Spark, Delta Lake - Programming: Python, PySpark - Databases: SQL, PostgreSQL, NoSQL - Data Warehousing and Analytics - ETL/ELT processes - Data Lake architectures - Version control: Git - Agile methodologies

You will be joining IntelliDash as a Data Engineering Architect in Coimbatore on a full-time on-site basis. Your primary responsibility will be to design and manage data architectures, develop data models, and ensure data governance. You will oversee Extract Transform Load (ETL) processes, maintain data warehouses, and collaborate with analytics and development teams to uphold data integrity and efficiency. To excel in this role, you should have a strong background in Data Governance and Data Architecture, along with proficiency in Data Modeling and ETL processes. Expertise in Data Warehousing is essential, coupled with excellent analytical and problem-solving skills. Your communication and collaboration abilities will be crucial in working independently and alongside a team. Prior experience in the manufacturing analytics industry would be advantageous. A Bachelor's or Master's degree in Computer Science, Information Technology, or a related field is required.,

As a Senior Data Analyst at our company based in Hyderabad, IN, with over 7 years of experience, you will play a crucial role in leveraging your expertise in SQL, data architecture, and the Google Cloud platform (GCP) ecosystem. Your primary responsibility will be to transform complex business queries into actionable insights, shaping strategic decisions, and contributing to the future direction of our Product/Operations team. It is essential to have a combination of technical proficiency, analytical rigor, and exceptional communication skills to collaborate effectively with engineering, product, and business stakeholders. Your key responsibilities will include advanced data analysis using SQL to query, analyze, and manipulate large datasets, creating and maintaining scalable dashboards and reports, managing source code effectively using platforms like GitHub, partnering with product managers to address critical business questions, collaborating with data engineers on data architecture and pipelines, translating complex data findings into compelling narratives for various audiences, leading analytical projects from inception to delivery, and mentoring junior analysts to foster a data-driven problem-solving culture. The ideal candidate should hold a Bachelor's degree in a quantitative field such as Computer Science or Statistics, possess a minimum of 5 years of experience in data analysis or business intelligence, demonstrate expert-level proficiency in SQL, have a solid understanding of data architecture and data modeling principles, excel in communication and stakeholder influencing, be familiar with business intelligence tools like Tableau or Looker, have experience with Google data tools like BigQuery, and exhibit a strong sense of curiosity and passion for data insights. In this role, you will lead a team of data scientists and analysts, oversee the development of data models and algorithms for new product initiatives, provide strategic direction for data science projects aligned with business objectives, collaborate with cross-functional teams to integrate data science solutions, analyze complex datasets for trends and patterns, utilize generative AI techniques, ensure adherence to ITIL V4 practices, mentor team members, monitor project progress, drive continuous improvement in data science methodologies, and foster a culture of innovation and collaboration within the team. To qualify for this role, you should have a solid background in business analysis and data analysis, expertise in generative AI, understanding of ITIL V4 practices, excellent communication and collaboration skills, proficiency in team management, and a commitment to working from the office during day shifts.,

As a Data Governance Technology Lead at Deutsche Bank Group, you will play a crucial role in spearheading the adoption and operation of modern data governance tooling across the entire organization. Your responsibilities will include collaborating closely with the Head of Data Platforms, Data Architecture, and the Chief Data Office to ensure high-quality, secure, and compliant data flows. This leadership position combines technical expertise, strategic vision, hands-on engineering, and team management. Your key responsibilities will involve supporting the continuous refinement of the data governance vision, leading the engineering team responsible for designing and operating data governance and observability stack, driving the implementation of Collibra, and working with various stakeholders to ensure a consistent approach to data governance and quality management. Additionally, you will define and monitor KPIs to ensure enterprise-wide adoption of data governance tooling and core data standards. To excel in this role, you should have at least 7 years of experience with data governance tooling and related concepts, a strong software engineering background with proficiency in programming languages like Python or Java, a deep understanding of SDLC concepts, automation, and efficient tech delivery, as well as hands-on experience with tools like the Collibra Suite and modern data platforms such as Snowflake or GCP BigQuery. Your leadership skills will be essential in managing technical teams and cross-functional projects. At Deutsche Bank Group, we offer a culture of continuous learning, training, and development to support your career progression. You will receive coaching and guidance from experts in your team and have access to a range of flexible benefits that can be tailored to suit your needs. Join us at Deutsche Bank Group to be part of a positive, fair, and inclusive work environment where we empower each other to excel together every day. Visit our company website for more information: [https://www.db.com/company/company.htm](https://www.db.com/company/company.htm). Together, we are Deutsche Bank Group.,

You will be leveraging your technical skills to source and prepare data from a variety of data sources, such as traditional databases, no-SQL, Hadoop, and Cloud. Your role will involve working closely with data analytics staff within our team to understand requirements and collaborate on optimizing solutions while developing new ideas. Additionally, you will be collaborating with the Data Domain Architect lead on all aspects of Data Domain Architecture, including resource management. Furthermore, you will engage with Tech, Product, and CIB data partners to conduct research and implement use cases effectively. To be successful in this role, you should have a minimum of 8+ years of relevant work experience in roles such as software developer, data/ML engineer, data scientist, or business intelligence engineer. A Bachelor's degree in Computer Science/Financial Engineering, MIS, Mathematics, Statistics, or another quantitative subject is required. You should possess strong analytical thinking and problem-solving skills, along with the ability to grasp business requirements and effectively communicate complex information to diverse audiences. Collaboration across teams and at varying levels using a consultative approach is essential, as well as a general understanding of Agile Methodology. Moreover, you should have knowledge of cloud platforms and hands-on experience with tools like Databricks or Snowflake. Proficiency in traditional databases such as Oracle and SQL Server, as well as strong overall SQL skills and experience with Python/PySpark are necessary. Familiarity with ETL framework and tools, including Alteryx, is expected. A fundamental understanding of Data Architecture, the ability to profile, clean, and extract data from various sources, and experience in developing analytics and insights using tools like Tableau and Alteryx are important. Exposure to data science, AI/ML, and model development will be beneficial in this role.,

As the Senior Director of Marketing and Customer Analytics at Labcorp, you will play a pivotal role in shaping the company's marketing strategies and customer engagement initiatives using data-driven insights. Your responsibilities will include defining and executing Labcorp's long-term marketing analytics strategy, delivering actionable insights to enhance campaign planning and audience segmentation, and championing the use of AI tools for personalized customer engagement. Additionally, you will lead a high-performing team, collaborate with internal stakeholders, and support the development of audience segmentation and marketing measurement initiatives. You will be responsible for building and leading a team of marketing analysts and data scientists to drive global programs, while also creating a supportive and inspiring team culture. Your role will involve developing marketing analytics strategies, establishing key metrics for measuring marketing programs, and collaborating with various stakeholders to leverage data for informed decision-making. You will also lead efforts in campaign analytics, marketing performance, and team development, ensuring that Labcorp maximizes data utilization and drives business growth effectively. To succeed in this role, you should have at least 15 years of experience in analytics, with a proven track record of shaping and executing marketing data strategies in Fortune 500 settings. Strong leadership skills, expertise in advanced analytics and predictive modeling, and the ability to communicate complex analytical findings in a compelling manner are essential for this position. Additionally, experience with data architecture principles, data visualization tools, and proficiency in tools such as Python, R, SQL, Tableau, and Power BI will be beneficial. The ideal candidate for this role is a self-starter with a proactive mindset, capable of working independently as well as collaboratively in a team environment. You should possess strong project management skills, excellent interpersonal communication abilities, and a results-oriented approach to driving data-driven decisions. Prior experience in medical diagnostics, pharmaceutical R&D, or healthcare sectors, as well as a strong understanding of Martech data sources, will be advantageous. Labcorp is an Equal Opportunity Employer and encourages individuals from all backgrounds to apply for this position. If you require assistance due to a disability or need accommodation during the application process, please visit Labcorp Accessibility for support. Your privacy is important to us, and we adhere to strict guidelines for collecting and storing personal data.,

Role & responsibilities Title: Data Architect Enterprise Data Management Experience: 12+ years No. of Positions: 1 Location: Delhi NCR, Bangalore, Pune (Hybrid) Job Summary: We are seeking a seasoned Data Architect with 12+ years of experience in designing scalable, metadata-driven data architectures. This individual will lead initiatives spanning enterprise metadata management, federated query design, real-time data integration, and semantic layer modelling. The ideal candidate will be hands-on, able to translate complex requirements into robust solutions, and collaborate closely with business, technology, and governance stakeholders. Strong communication and documentation skills are essential, as this role operates at the intersection of data strategy, engineering, and enterprise governance. Must Have Skills: • 12+ years of experience in data architecture and engineering, with deep expertise in metadata-driven, federated, and real-time data environments • Core Competencies o Enterprise Metadata Management: Design and implementation of automated data discovery, cataloguing, and lineage tracking across heterogeneous data platforms o Federated Query Architecture: Building unified data access layers that abstract complexity across multiple data sources and query engines o Real-time Data Integration: Event-driven architectures for continuous metadata synchronization and schema evolution management o Data Governance Frameworks: Establishing automated data quality, privacy compliance, and access control patterns at enterprise scale o Semantic Layer Design: Creating business-friendly data models that bridge technical schemas with analytical requirements • Technical Proficiencies o Programming: Python (data engineering libraries), SQL (advanced optimization), Scala/Java o Data Modelling: Dimensional modelling, graph databases, semantic web technologies o Search & Discovery: Full-text search engines, vector similarity search, ML-based data classification o API Architecture: REST, GraphQL, and gRPC for data service exposure o Streaming Platforms: Message queuing and event streaming architectures • Track record of effective collaboration with Data Engineers, Governance Leads, BI/Analytics Developers, ML Engineers, and Product Owners on complex data initiatives • Demonstrated ability to produce data architecture diagrams, lineage flows, and maintain high-quality documentation standards • Excellent written and verbal communication skills, with the ability to interact with executive sponsors, technology teams, and governance stakeholders • Self-driven, hands-on architect with a lead-by-doing mindset for solution validation, issue resolution, and cross-team enablement Nice to Have Skills: • Implementation experience with enterprise knowledge graphs • Understanding of data mesh and data fabric architectural approaches • Experience with MLOps environments and integration of feature stores • Execution of multi-cloud data strategies (e.g., AWS, Azure, GCP) • Exposure to vector search, ML-based classification, and automated data discovery • Familiarity with full-text search engines and search-driven metadata environments Role & Responsibilities: • Architect, implement, and evolve the enterprise metadata and data architecture to enable discovery, quality, and governance at scale • Lead the design of a federated query layer that abstracts data access across distributed platforms and technologies • Define and implement semantic layers for business-friendly data modeling and reporting enablement • Develop and enforce data governance rules via architectural automation and controls • Collaborate across functions with Data Engineers, Analytics Teams, Governance Stakeholders, UI/UX Designers, and ML Engineering teams to ensure architectural alignment and delivery • Enable real-time metadata synchronization, schema tracking, and classification pipelines • Create and maintain data architecture documentation, lineage maps, and solution artifacts • Support strategic initiatives involving data mesh, knowledge graph, MLOps, and cloud-native data ecosystems • Drive solutioning, reviews, and standards as a technical advisor and hands-on architect • Communicate architectural vision, design decisions, and roadmap updates with executives, product owners, and technical teams Key Skills: Metadata management, Data architecture, Semantic modeling, Federated queries, Real-time integration, Data governance, Python, SQL, Scala, Graph modeling, GraphQL, Kafka, API design, Data mesh, Knowledge graph Education: • Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field • Certifications in Cloud Architecture, Metadata Management, or Data Modeling (e.g., DAMA, DCAM, TOGAF) preferred Preferred candidate profile

Minimum Skill Requirements This exciting and interesting position will have the below responsibilities Playing a key liaison role during technology implementation providing direction and requirements clarity and testing new and enhanced capabilities prior to release into production Being able to do requirements gathering campaign Design customer data mapping solution design development and deployment of campaign solutions Contributing to developing marketing capabilities at LTIMindtree Must have deep understanding of different kind of marketing programs in a multichannel Campaign and Marketing world that clients are leaning towards and how clients measure the returns on investments Must demonstrate understanding of the latest trends in the digital marketing market space including integration with mobile channel data management in the new space integration of online and offline channels and how its enables using some of the technologies Must have experience with developing landing pages and templates Must Have Marketo Lead management experience and hands on data management experience for customer data Must exhibit a through conceptual understanding of the entire marketing promotions process capabilities that support these using one of the abovementioned Technology stacks Overall understanding of marketing cloud data architecture model Must have worked on HTML CSSJava ScriptingSQLBootstrapResponsive Must have adequate knowledge on integrations of Salesforce Websites MDM and other thirdparty tools integration with Marketo and must have knowledge with REST and SOAP API Integration Should be able to gather requirement effectively and provide best practices and solution to client Can work independently to deliver end product Should have working knowledge on tolls like Litmus Good to Have Develop proposals of technical solutions including recommendations on selection architecture licensing configuration sizing and scalability Have worked on any other Custom or packaged Campaign Management product Exposure to advanced Digital marketing skills Administration and installation skills on any one of the marketing Technologies

***Project Manager- RGM- Remote role***For our international client, RED is looking for a hands-on Technical\/Functional Project Manager with expertise in Revenue Growth Management (RGM) to lead data-driven initiatives that support the buildout and evolution of RGM systems and data foundations.Youll act as an internal lead within the Digital Data, Analytics & AI team, collaborating closely with global business and technical stakeholders.The consultant is expected to start from August 2025 and for an initial 12+ months contract. The project is fully remoteKey ResponsibilitiesCo-lead delivery of RGM and data-focused initiatives across business and technical teamsServe as SME on RGM strategy, use cases, data architecture, and integrationsDraft and manage comprehensive project documentation (requirements, timelines, testing plans, etc.)Collaborate with cross-functional teams to ensure alignment across business needs and technical executionAct as a translator between business and IT to ensure clarity and consistency in implementationSupport project governance using Agile or hybrid methodologiesQualifications5+ years in digital data and RGM technology project managementProven experience with Commercial Revenue Enablement, RGM, or TPM platforms such as XTEL, KantarIf you are interested in this position, please apply or send your updated CV to sbasantani@redglobal.com for immediate consideration.Many thanks,Sanjana

Be an essential element to a brighter future. We work together to transform essential resources into critical ingredients for mobility, energy, connectivity and health. Join our values-led organization committed to building a more resilient world with people and planet in mind. Our core values are the foundation that make us successful for ourselves, our customers and the planet. Job Description Overview As part of the Global Data & Analytics Technology team within Corporate IT, the Enterprise Master Data Architect plays a strategic role in shaping and executing enterprise-wide master data initiatives. This role partners closely with business leaders, the Corporate Master Data Management team, and Business Relationship Managers to define and deliver scalable solutions using SAP Master Data Governance (MDG). We re looking for a forward-thinking architect with a strong blend of technical expertise and business acumen someone who can balance innovation with execution, and who thrives in a fast-paced, collaborative environment. Key Responsibilities Collaborate with business stakeholders to define enterprise master data strategies and governance frameworks. Design and implement SAP MDG solutions that support the collection, processing, and stewardship of master data across domains. Lead the development and enforcement of data governance policies, standards, and best practices. Architect and deliver SAP-centric master data solutions that align with enterprise goals and compliance requirements. Provide technical leadership and mentorship to MDM team members and cross-functional partners. Ensure consistency, quality, and accessibility of master data across systems and business units. Drive continuous improvement in data architecture, modeling, and integration practices. Qualifications Bachelor s degree in Computer Science, Information Systems, or a related field. Proven experience designing and architecting enterprise Master Data solutions. 4+ years of hands-on experience with SAP MDG and SAP Data Architecture. Strong functional knowledge of master data domains: customer, vendor, product/material, and finance in S/4HANA or ECC. Experience with SAP Data Services and SAP Information Steward for data conversion, quality, and cleansing. Proficiency in defining systems strategy, requirements gathering, prototyping, testing, and deployment. Strong configuration and solution design skills. ABAP development experience required, including custom enhancements and data modeling. Experience with SAP S/4HANA 2021 or later preferred. Excellent communication, collaboration, and time management skills. Ability to lead cross-functional teams and manage multiple priorities in a dynamic environment. Benefits of Joining Albemarle Competitive compensation Comprehensive benefits package A diverse array of resources to support you professionally and personally. We are partners to one another in pioneering new ways to be better for ourselves, our teams, and our communities. When you join Albemarle, you become our most essential element and you can anticipate competitive compensation, a comprehensive benefits package, and resources that foster your well-being and fuel your personal growth. Help us shape the future, build with purpose and grow together.

Be an essential element to a brighter future. We work together to transform essential resources into critical ingredients for mobility, energy, connectivity and health. Join our values-led organization committed to building a more resilient world with people and planet in mind. Our core values are the foundation that make us successful for ourselves, our customers and the planet. Job Description Overview As a key member of the Enterprise Data & Analytics team, the Enterprise Data & Analytics Architect is responsible for designing, implementing, and maintaining the enterprise data and analytics architecture. This role collaborates closely with business leaders, Business Relationship Managers, and internal analytics teams to define data strategies, identify data sources, and deliver scalable analytical solutions. The ideal candidate combines deep technical expertise with strong business acumen and excels at balancing innovation with execution in a fast-paced environment. Key Responsibilities Design and implement enterprise-wide data architecture across operational, analytical, and reporting platforms. Collaborate with business stakeholders to define analytics requirements and translate them into scalable data solutions. Ensure data accessibility, security, and performance across platforms while maintaining consistency and governance. Lead the development of data models, data integration strategies, and data stewardship frameworks. Drive continuous improvement in data architecture, analytics capabilities, and data management practices. Provide technical leadership and mentorship to project teams and cross-functional partners. Qualifications 5+ years of experience in SAP IT departments and/or SAP consulting roles. Hands-on experience with SAP tools including S/4HANA, BPC, Fiori, Core Data Services (CDS), BW, Web Intelligence, and Design Studio. Strong expertise in data management, data architecture, analytics, and database systems. Proven ability to work directly with business stakeholders to gather and finalize data requirements. Self-starter with a passion for learning new tools, systems, and processes. Experience translating business needs into technical project requirements. Project management experience with a track record of delivering data-driven solutions. Background in IT development, Business Intelligence, Data Warehousing, or related fields. Bachelor s degree in Computer Science, Engineering, Business, or a related discipline. Benefits of Joining Albemarle Competitive compensation Comprehensive benefits package A diverse array of resources to support you professionally and personally. We are partners to one another in pioneering new ways to be better for ourselves, our teams, and our communities. When you join Albemarle, you become our most essential element and you can anticipate competitive compensation, a comprehensive benefits package, and resources that foster your well-being and fuel your personal growth. Help us shape the future, build with purpose and grow together.

This position provides input, support, and performs full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. This position provides input to applications development project plans and integrations. He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives. This position provides knowledge and support for applications development, integration, and maintenance. He/She provides input to department and project teams on decisions supporting projects. Responsibilities: Performs systems analysis and design. Designs and develops moderate to highly complex applications. Develops application documentation. Produces integration builds. Performs maintenance and support. Supports emerging technologies and products. Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

This position provides input, support, and performs full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. This position provides input to applications development project plans and integrations. He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives. This position provides knowledge and support for applications development, integration, and maintenance. He/She provides input to department and project teams on decisions supporting projects. Responsibilities: Performs systems analysis and design. Designs and develops moderate to highly complex applications. Develops application documentation. Produces integration builds. Performs maintenance and support. Supports emerging technologies and products. Primary Skill: Modern web development, ASP.NET, Angular 2 Secondary Skill: Agile development, Automated Testing Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

This position provides input, support, and performs full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. This position provides input to applications development project plans and integrations. He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives. This position provides knowledge and support for applications development, integration, and maintenance. He/She provides input to department and project teams on decisions supporting projects. Responsibilities: Performs systems analysis and design. Designs and develops moderate to highly complex applications. Develops application documentation. Produces integration builds. Performs maintenance and support. Supports emerging technologies and products. Primary Skills : IAD - Angular/.Net Follows Agile and SAFe practices Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

Why we need this role We are looking for a detail-oriented and strategically minded Senior Analyst to join our Segmentation & Customer Onboarding team. This role is pivotal in driving analytical insights that shape customer acquisition and onboarding strategies, leveraging tools like Salesforce, Excel, and CRM platforms What you will do: • Design and implement customer segmentation frameworks to support targeted onboarding strategies • Optimize and manage workflows using Salesforce New Account Model for seamless onboarding • Analyze performance data to recommend process improvements and enhance customer experience • Collaborate with cross-functional teams to ensure accurate and efficient CRM data handling • Generate reports, dashboards, and actionable insights using advanced Excel skills • Utilize Dun & Bradstreet (D&B) datasets to enrich customer profiles and drive smarter segmentation • Ensure data integrity by maintaining data hygiene and conducting regular Salesforce audits What we’re looking for • Proven experience in customer segmentation and onboarding analytics • Proficiency in Salesforce, specifically the New Account Model • Strong command over Microsoft Excel – including pivot tables, advanced formulas, and data visualization • Solid understanding of CRM platforms and data architecture • Familiarity with D&B data services and their application in business analytics • Excellent communication skills and stakeholder management abilities • A knack for problem-solving and analytical thinking 3-5 years of experience with any gradution degree. Competencies Solving Complex Problems Interacting with People at Different Levels Prioritizing and Organizing Work Serving Customers Building and Supporting Teams Driving for Results Using Math Skills Continuous Process Improvement Data Management Data Analysis Research Reports Development Metadata Analysis Sales Tools Education A bachelor’s or master’s degree in business administration, marketing or a relevant field Roles and Responsibilities Senior Analyst, Customer OnBoarding & SalesForce Governance

Job Title: Collibra Data Governance Specialist Location: Hyderabad Job Type: Full-Time About the Role: We are seeking a highly skilled and experienced Collibra Expert to lead and manage our enterprise-level data governance initiatives using Collibra. This role requires deep expertise in Collibra s platform, including configuration, integration, workflow development, and stakeholder engagement. The ideal candidate will be responsible for implementing and maintaining data governance frameworks, ensuring data quality, and enabling data stewardship across the organization. Key Responsibilities: Lead the end-to-end implementation and administration of the Collibra Data Intelligence Platform. Design and configure Collibra Operating Model , including domains, assets, workflows, and roles. Develop and maintain custom workflows using BPMN and Collibra Workflow Designer. Integrate Collibra with enterprise systems (e.g., Snowflake, Informatica, Tableau, Azure, SAP) using APIs and connectors. Collaborate with data stewards, data owners, and business users to define and enforce data governance policies . Implement and monitor data quality rules , lineage, and metadata management. Provide training and support to business and technical users on Collibra usage and best practices. Act as a Collibra SME and evangelist within the organization, promoting data governance maturity. Maintain documentation and ensure compliance with internal and external data governance standards. Required Skills & Qualifications: 5+ years of experience in data governance , metadata management, or data quality. 3+ years of hands-on experience with Collibra , including configuration, workflow development, and integration. Strong understanding of data governance frameworks , data stewardship, and data lifecycle management. Proficiency in Collibra APIs, BPMN, and scripting languages (e.g., Groovy, JavaScript). Experience with data cataloging, lineage, and business glossary in Collibra. Familiarity with data platforms like Snowflake, Azure, AWS, Informatica, or similar. Excellent communication and stakeholder management skills. Collibra Ranger or Solution Architect certification is a plus . Preferred Qualifications: Experience in enterprise-level deployments of Collibra. Knowledge of regulatory compliance (e.g., GDPR, HIPAA, CCPA). Background in data architecture or data engineering is a plus.

Requirement : Data Architect & Business Intelligence Experience: 5-12 Years Work Type: Full-Time Job Summary: We are looking for a Data Architect & Business Intelligence Expert who will be responsible for designing and implementing enterprise-level data architecture solutions. The ideal candidate will have extensive experience in data warehousing, data modeling, and BI frameworks , with a strong focus on Salesforce, Informatica, DBT, IICS, and Snowflake . Key Responsibilities: Design and implement scalable and efficient data architecture solutions for enterprise applications. Develop and maintain robust data models that support business intelligence and analytics. Build data warehouses to support structured and unstructured data storage needs. Optimize data pipelines, ETL processes, and real-time data processing. Work with business stakeholders to define data strategies that support analytics and reporting. Ensure seamless integration of Salesforce, Informatica, DBT, IICS, and Snowflake into the data ecosystem. Establish and enforce data governance, security policies, and best practices . Conduct performance tuning and optimization for large-scale databases and data processing systems. Provide technical leadership and mentorship to development teams. Key Skills & Requirements: Strong experience in data architecture, data warehousing, and data modeling . Hands-on expertise with Salesforce, Informatica, DBT, IICS, and Snowflake . Deep understanding of ETL pipelines, real-time data streaming, and cloud-based data solutions . Experience in designing scalable, high-performance, and secure data environments . Ability to work with big data frameworks and BI tools for reporting and visualization. Strong analytical, problem-solving, and communication skills

Requirement : Data Architect & Business Intelligence Experience: 5-12 Years Work Type: Full-Time Job Summary: We are looking for a Data Architect & Business Intelligence Expert who will be responsible for designing and implementing enterprise-level data architecture solutions. The ideal candidate will have extensive experience in data warehousing, data modeling, and BI frameworks , with a strong focus on Salesforce, Informatica, DBT, IICS, and Snowflake . Key Responsibilities: Design and implement scalable and efficient data architecture solutions for enterprise applications. Develop and maintain robust data models that support business intelligence and analytics. Build data warehouses to support structured and unstructured data storage needs. Optimize data pipelines, ETL processes, and real-time data processing. Work with business stakeholders to define data strategies that support analytics and reporting. Ensure seamless integration of Salesforce, Informatica, DBT, IICS, and Snowflake into the data ecosystem. Establish and enforce data governance, security policies, and best practices . Conduct performance tuning and optimization for large-scale databases and data processing systems. Provide technical leadership and mentorship to development teams. Key Skills & Requirements: Strong experience in data architecture, data warehousing, and data modeling . Hands-on expertise with Salesforce, Informatica, DBT, IICS, and Snowflake . Deep understanding of ETL pipelines, real-time data streaming, and cloud-based data solutions . Experience in designing scalable, high-performance, and secure data environments . Ability to work with big data frameworks and BI tools for reporting and visualization. Strong analytical, problem-solving, and communication skills

Requirement : Data Architect & Business Intelligence Experience: 5-12 Years Work Type: Full-Time Job Summary: We are looking for a Data Architect & Business Intelligence Expert who will be responsible for designing and implementing enterprise-level data architecture solutions. The ideal candidate will have extensive experience in data warehousing, data modeling, and BI frameworks , with a strong focus on Salesforce, Informatica, DBT, IICS, and Snowflake . Key Responsibilities: Design and implement scalable and efficient data architecture solutions for enterprise applications. Develop and maintain robust data models that support business intelligence and analytics. Build data warehouses to support structured and unstructured data storage needs. Optimize data pipelines, ETL processes, and real-time data processing. Work with business stakeholders to define data strategies that support analytics and reporting. Ensure seamless integration of Salesforce, Informatica, DBT, IICS, and Snowflake into the data ecosystem. Establish and enforce data governance, security policies, and best practices . Conduct performance tuning and optimization for large-scale databases and data processing systems. Provide technical leadership and mentorship to development teams. Key Skills & Requirements: Strong experience in data architecture, data warehousing, and data modeling . Hands-on expertise with Salesforce, Informatica, DBT, IICS, and Snowflake . Deep understanding of ETL pipelines, real-time data streaming, and cloud-based data solutions . Experience in designing scalable, high-performance, and secure data environments . Ability to work with big data frameworks and BI tools for reporting and visualization. Strong analytical, problem-solving, and communication skills

Requirement : Data Architect & Business Intelligence Experience: 5-12 Years Work Type: Full-Time Job Summary: We are looking for a Data Architect & Business Intelligence Expert who will be responsible for designing and implementing enterprise-level data architecture solutions. The ideal candidate will have extensive experience in data warehousing, data modeling, and BI frameworks , with a strong focus on Salesforce, Informatica, DBT, IICS, and Snowflake . Key Responsibilities: Design and implement scalable and efficient data architecture solutions for enterprise applications. Develop and maintain robust data models that support business intelligence and analytics. Build data warehouses to support structured and unstructured data storage needs. Optimize data pipelines, ETL processes, and real-time data processing. Work with business stakeholders to define data strategies that support analytics and reporting. Ensure seamless integration of Salesforce, Informatica, DBT, IICS, and Snowflake into the data ecosystem. Establish and enforce data governance, security policies, and best practices . Conduct performance tuning and optimization for large-scale databases and data processing systems. Provide technical leadership and mentorship to development teams. Key Skills & Requirements: Strong experience in data architecture, data warehousing, and data modeling . Hands-on expertise with Salesforce, Informatica, DBT, IICS, and Snowflake . Deep understanding of ETL pipelines, real-time data streaming, and cloud-based data solutions . Experience in designing scalable, high-performance, and secure data environments . Ability to work with big data frameworks and BI tools for reporting and visualization. Strong analytical, problem-solving, and communication skills

The IQVIA Digital Data team is growing and looking for super curious, passionate, and driven individuals to join the team. Our people are our greatest asset and were committed to creating an environment where we all thrive doing what we love. IQVIA Digital is the world s most comprehensive platform for healthcare marketing and analytics. It is changing the way Healthcare Marketing is done by leveraging latest cloud-native solutions, efficient big data pipelines, processes and technologies. We work with the largest pharmaceutical brands and media agencies in the US. We empower media planning, buying, and analytics teams with the tools they need to do their job, and do it well. By simplifying workflows that used to take days into seconds, integrating functionality that used to require multiple vendors into one, and providing faster and deeper insights than anyone in the industry, we are helping healthcare marketers cut their costs, move faster and drive measurable results. We are looking for a driven and dynamic Senior Data Engineer who will have the responsibility to expand and maintain our data warehouse, develop scalable data products, and help orchestrate terabytes of data flowing through our platform. This individual will work directly with a group of cross-functional engineers and product owners in our reporting and statistical aggregations, leveraging best practice engineering standards to ensure secure and successful data solutions. About the Job - Construct data pipelines using Airflow and Cloud Functions to meet business requirements set from the Reporting Product and Engineering teams - Maintain and optimize table schemas, views, and queries in our data warehouse and databases - Perform ad-hoc analysis to troubleshoot stakeholder issues surrounding data and provide insights into feature usage - Document data architecture and integration efforts to provide a clear understanding of the data platform to other team members - Provide guidance on data best practices when building out new product lines - Mentor a team of engineers Must have - Experience with data task orchestration (Airflow, CRON, Prefect etc. . ) with dependency mapping - Data analysis and data modeling - Strong experience in Python, SQL, shell scripting - Experience interacting with APIs, SFTP, Cloud Storage locations (eg. GCS, s3) - Analytical problem-solving skills, ability to analyze application logs to troubleshoot issues - Familiarity with Cloud Computing (GCP a plus) -Experience developing and implementing statistical models Nice to have - Experience with JavaScript - Hands on work with Airflow - Exposure to producer/consumer messaging systems - Has led a small team of developers IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide . Learn more at https://jobs. iqvia. com