Data Architect

Data Architect

Role Description: This position assists in implementing data architecture at Kraft Heinz for a sub-domain ensuring assigned data assets are properly organized structured and secured. 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.

• Bachelors 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.
• Effective collaboration with cross-functional teams.
• 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

• 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

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