Data Architect

Overview

Implement data architecture for a sub-domain at Kraft Heinz, ensuring assigned data assets are organized, structured and secured, and that teams can access data seamlessly within functional domain objectives.

What you'll do

• Work 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 the assigned sub-domain.
• Explore data sources by working with Application owners to confirm datasets to be extracted.
• Design data models for source data products 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 use cases.
• Document data architecture artifacts for assigned data products.
• Support Data Engineering and BI Engineering teams during the build phase.
• Participate in peer review and quality assurance of project architectural artifacts across the Data Architecture group through governance forums.
• Adopt and enforce the standards, guidelines and best practices established by the Data Architecture chapter.
• Design and develop data products/data solutions within the Finance Planning & Analysis sub-domain under the Finance domain, supporting analytical and decision intelligence use cases that leverage a large variety of internal and external data sources.

What you'll need

• Bachelor's degree in computer science, data science, engineering or a related field.
• At least 3+ years of relevant experience in design and implementation of scalable, high-performance and reusable data models that help generate actionable insights.
• Strong background in data warehouse implementation.
• Experience designing data models (Logical, Physical, Conceptual ERD) using data modeling tools such as 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 such as dbt, pandas, great expectations, etc.
• Experience designing semantic models for BI/AI data requirements.
• Knowledge of Agile methodologies with experience working on tools such as Jira and Confluence.
• Effective collaboration with cross-functional teams.
• Growing understanding of business processes and functional understanding with an analytical background.
• Ability to navigate and collaborate with cross-functional teams involving data scientists, business analysts and stakeholders.
• Strong data warehouse concepts and experience with data warehouse platforms such as Snowflake and HANA.
• Experience with cloud service 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).
• 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.
• 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.

Nice to have

• Certifications in Data Management, Data Modelling and Cloud services.
• CPG experience with knowledge of domain-specific concepts.
• Business process and SAP functional understanding with an analytics background (SAP ECC/S4, BW, HANA, BI, ARIBA experience).
• Data modeling tool experience such as ERWIN.

Details

• Location: Bengaluru - Brookfield GCC.