Collaborates with teams to support seamless data accessibility while adhering to functional domain objectives ● Works with Product owners, Business stewards, Business Intelligence Engineers, Data Scientists and end users to understand data consumers' needs and develop data products/ data solutions within assigned sub-domain. ● Explores Data Sources by working with Application owners to confirm datasets to be extracted ● Designs Data models for Source data products and Master data products including schema design, table definitions, and column specifications. ● Designs and implements semantic models following established standards, supporting BI reporting, AI applications, and conversational analytics use cases. ● Documents Data Architecture artifacts for assigned data products ● Supports Data Engineering and BI Engineering teams during the build phase ● Participate in the peer review and quality assurance of project architectural artifacts across the Data Architecture group through governance forums ● Adopt and enforce the set standards, guidelines, and best practices established by Data Architecture chapter ● Design and develop data products / data solutions within the Finance Planning & Analysis subdomain under Finance domain supporting analytical and decision intelligence use cases that leverage a large variety of data sources from internal and external systems. ● Growing understanding of business processes and functional understanding with an analytical background. ● CPG experience with knowledge in domain specific concepts is beneficial ● Ability to navigate and collaborate with cross-functional teams involving data scientists, business analysts, and stakeholders ● Bachelor's degree in computer science, data science, engineering, or related field. ● Certifications in Data Management,



Data Modelling and Cloud services are preferred. ● At least 3 years of relevant experience in design and implementation of scalable, high-performance, and reusable data models that help in generating actionable insights. ● Strong background in data warehouse implementation. ● Experience in designing data models (Logical, Physical, Conceptual ERD) using data modeling tools (ERWIN, ER/STUDIO, etc.). ● Demonstrated ability to translate business requirements into technical solutions driving data architecture and Data Product design. ● Experience with enterprise-scale data engineering orchestration frameworks/ELT tools and common data engineering Python libraries (dbt, pandas, great expectations, etc.). ● Experience in designing semantic models for BI/AI data requirements ● Knowledge of Agile methodologies with experience working on tools such as Jira & Confluence. ● Strong Datawarehouse concepts and experience with data warehouse platforms such as Snowflake, HANA ● Experience with cloud services providers such as Azure ● Solid understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques ● Extensive hands-on experience with enterprise data modeling (Logical, Physical, Conceptual ERD). Data modeling tool experience a plus (like ERWIN) ● Knowledge of ETL/ELT frameworks, tools and processes ● Understanding of Business intelligence tools and technologies such as Power BI ● Business Process and SAP functional understanding with an analytics background (preferred SAP ECC/S4, BW, HANA, BI, ARIBA experience) is a plus ● Understanding of Data Governance principles and practices including Data Quality, Data Security and Compliance ● Excellent communication and interpersonal skills for stakeholder management and cross-functional collaboration.

📌 Data Architect (Bengaluru)
🏢 Kraft Heinz
📍 Bengaluru