Senior – Data Architect

Location: Bengaluru - Brookfield GCC, Karnātaka, India

Department: Data Management

Work Location: hybrid

Job Description

• 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.

• 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.

• 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.

• 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)

Location(s)