Kraft Heinz

Data Architect

India · Work style not stated · Full time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerKraft Heinz
LocationIndia
Work styleWork style not stated
Employment typeFull time
Employer posted16 Sep 2026

Job Description

Data Architect

General Information

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

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.

Show full description

Education

Bachelor’s degree in computer science, data science, engineering, or related field.
Certifications in Data Management, Data Modelling and Cloud services are preferred.

Experience

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

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)

Bengaluru - Brookfield GCC

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

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