Data Architect

About the role

Kraft Heinz is hiring a Data Architect in Bengaluru. The role works with Product owners, Business stewards, BI engineers, data scientists and end users to understand their data needs and deliver data products and solutions, mainly within the Finance Planning & Analysis subdomain. It also supports Data Engineering and BI Engineering teams during the build phase.

Key responsibilities

• Work with application owners to confirm datasets to be extracted from data sources.
• Design data models for source and master data products, including schema design, table definitions and column specifications.
• Design and implement semantic models following established standards, supporting BI reporting, AI applications and conversational analytics.
• Document data architecture artifacts and take part in peer review and quality assurance of architectural artifacts through governance forums.
• Adopt and enforce the standards, guidelines and best practices of the Data Architecture chapter.
• Develop data products and solutions for the Finance Planning & Analysis subdomain, covering analytical and decision intelligence use cases.

Required profile

• Bachelor's degree in computer science, data science, engineering or a related field.
• At least 3 years of experience designing and implementing scalable, high-performance, reusable data models.
• Strong background in data warehouse implementation and experience designing logical, physical and conceptual ERDs with tools such as ERWIN or ER/Studio.
• Ability to turn business requirements into technical solutions and to work with cross-functional teams including data scientists and business analysts.
• Certifications in data management, data modelling and cloud services are preferred; CPG experience is beneficial.

Required skills

• Data warehouse platforms such as Snowflake and HANA, and cloud services such as Azure.
• ETL/ELT frameworks and ELT tools, and Python libraries such as dbt, pandas and Great Expectations.
• Semantic model design for BI and AI, and knowledge of Power BI.
• Agile methodology, Jira and Confluence.
• Preferred: SAP ECC/S4, BW, HANA, ARIBA, data governance, data quality and security, and business process understanding.