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    Job · 16908612

    BENGALURU · FULLTIME

    Sr - Data Architect

    Kraft Heinz Company logo

    Kraft Heinz Company

    Bengaluru · onsite · Posted 41d ago

    Sourced fromNaukri
    Undisclosed5–10 yrsfulltimeBengaluru

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    Section · 01

    About this role

    The Senior Data Architect - S/4HANA Analytics owns the design, governance, and quality of domain-specific data assets that power analytics and decision intelligence at Kraft Heinz. Operating at the intersection of SAP S/4HANA, Finance, and modern data engineering, this role leads data architecture execution across global S/4 implementation and rollout programs, establishing scalable data products and enterprise data models that serve Finance, Supply Chain, Procurement, Manufacturing, and adjacent business domains.
    The role collaborates closely with Product Owners, Business Stewards, BI Engineers, Data Scientists, and Data Engineers to translate complex business requirements into trusted, governed, and reusable data solutions - from source-system ingestion through consumption-ready data products.
     
    KEY RESPONSIBILITIES
    • Lead data architecture execution for global S/4HANA implementation and rollout programs, ensuring seamless integration of data standards across countries and business units.
    • Define and own the enterprise data architecture for S/4HANA analytics, including Medallion Architecture (Bronze / Silver / Gold) design across ELT tooling and cloud platforms.
    • Serve as the data architecture authority for Finance initiatives - including GL, Cost Center / Profit Center Accounting, CFIN, and financial reporting hierarchies (HRRP tables).
    • Design conceptual, logical, and physical data models (ERDs) for source data products - covering schema design, table definitions, and column specifications.
    • Build scalable data models that support BI, advanced analytics, and AI/ML workloads across Finance, Supply Chain, and Global Operations domains.
    • Partner with application owners to analyze and evaluate data sources, ensuring alignment with architectural standards and extraction requirements.
    • Design and develop Finance and Global Operations data products supporting analytical and decision intelligence use cases leveraging diverse internal and external data sources.
    • Work with Product Owners, Business Stewards, BI Engineers, Data Scientists, and end users to understand data consumers needs and translate them into well-defined data products and solutions.
    • Assess domain feasibility requirements and translate business requirements into actionable data architecture and data product designs.
    • Engage cross-functional teams - including data scientists, business analysts, and functional leads - throughout the full data product lifecycle.
    • Support Data Engineering and BI Engineering teams during the build phase, providing architectural guidance and technical direction.
    • Review data model development, validate designs, participate in Integration Test Cycles and User Acceptance testing, and provide deployment approval.
    • Work closely with Data Stewards to enforce data governance, security, data quality, and compliance requirements for assigned data assets.
    • Participate in peer review and quality assurance of architectural artifacts across the Data Architecture group through governance forums.
    • Document data architecture artifacts for data products and solutions; perform peer review across functions.
    • Collaborate with the Data Architecture chapter to develop, maintain, and enhance data standards, modeling guidelines, and architectural best practices.
    • Contribute to the continuous improvement of reusable frameworks, patterns, and templates within the enterprise data architecture practice.
    QUALIFICATIONS
    Education
    • Bachelor s degree in computer science, Data Science, Engineering, or a related technical field.
    • Relevant certifications: Azure Fundamentals, Snowflake, CDMP, or equivalent cloud/data platform credentials are advantageous.
    Experience
    • 5+ years of experience designing and implementing scalable, high-performance, and reusable data models that drive actionable business insights.
    • Strong background in SAP S/4HANA implementation and rollout programs, with solid understanding of Finance business processes including financial reporting, planning, and analytics.
    • Proven expertise in enterprise data warehouse architecture, design, and implementation.
    • Hands-on experience developing Conceptual, Logical, and Physical Data Models and ERDs using industry-standard tools such as ERwin, ER/Studio, or equivalent.
    • Demonstrated ability to translate business requirements into technical data architecture solutions and data product designs.
    • Strong SQL skills with working knowledge of cloud data platforms (Azure) and modern data warehouses (Snowflake, HANA).
    • Experience with modern data engineering frameworks and ELT/ETL technologies - including dbt, Python,
    • CPG (Consumer Packaged Goods) industry experience with domain-specific knowledge is a plus.
    Technical Skills
    • SAP S/4HANA: CDS Views, SLT, SAP Datasphere.
    • Data warehousing platforms: Snowflake, SAP HANA, or equivalent cloud data platforms.
    • Data modeling tools: ERwin, ER/Studio, or equivalent; strong hands-on experience with Logical, Physical, and Conceptual ERD design.
    • BI Reporting: Power BI or equivalent reporting and visualization tools.
    • Cloud platforms: Azure (preferred)
    CORE COMPETENCIES
     
    Technical Architecture
    Designs scalable, governed data models and end-to-end data flows across SAP S/4HANA and cloud platforms.
    Business Acumen
    Translates complex Finance and CPG business requirements into practical, trusted data products and analytics solutions.
    Stakeholder Collaboration
    Builds strong relationships with Product Owners, Engineers, Data Stewards, and business stakeholders across global teams.
    Data Governance Mindset
    Champions data quality, lineage, metadata standards, and security as foundational to analytics trustworthiness.
    Delivery Focus
    Drives data architecture from requirements through deployment, supporting testing cycles and governance checkpoints.
    Continuous Improvement
    Proactively refines standards, patterns, and best practices within the Data Architecture chapter.


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Section · 02

    Skills

    CFINcloud platformsconsumer packaged goodsCds Viewsbusiness insightsBusiness Requirementscost centerAnalyticsBI ReportingCloud DataData AnalyticscloudArchitectureAdvanced AnalyticsAccountingcomplianceMicrosoft AzureArtificial Intelligence

    Section · Company

    About Kraft Heinz Company

    Kraft Heinz Company logo

    Kraft Heinz Company

    FMCG

    722

    employees

    2015

    11 years old

    Ahmedabad, Gujarat

    India

    ₹17L PA avg

    Avg at Kraft Heinz Company

    About

    The Kraft Heinz Company is one of the largest food and beverage companies in the world, with eight $1 billion brands and global sales of approximately $25 billion. We’re a globally trusted producer of

    Industries

    FMCG

    Employee ratings

    10 reviews

    2.9/ 5

    Culture

    1.1

    Career growth

    1.0

    Work-life

    3.4

    Employees rate it well for

    Work-Life Balance36Compensation & Benefits35

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