Data Architect

Responsibilities

• 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.

Education

Experience

Skills

• Strong Datawarehouse concepts and experience with data warehouse platforms such as Snowflake, HANA
• Experience with cloud services providers such as Azure
• Strong 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)
• Advanced SQL skills
• Knowledge of ETL/ELT frameworks, tools and processes
• Python or similar programming language experience
• 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.
• Strong analytical and problem-solving skills

Location(s)

• Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes .