Data Architect

Kraft Heinz; Bengaluru; On-site; INR 2,200,000 - 3,800,000; Full time

Job summary

Kraft Heinz is seeking a Data Architect to lead the design of scalable data models for a sub-domain within the Finance and Analytics ecosystem. The role focuses on organizing, securing, and enabling access to data assets to support BI, AI, and decision intelligence initiatives.

You will collaborate with product owners, data scientists, BI engineers, and cross-functional teams to implement optimized data products and governance.

Qualifications

• Design scalable data models aligned to business needs and analytics objectives.
• Translate requirements into technical data architectures and data products.
• Experience with data warehouse implementation and BI/AI data needs.

Responsibilities

• Collaborate with product owners, BI engineers, data scientists to define data consumers’ needs.
• Explore data sources with application owners to confirm datasets for extraction.
• Design data models for source and master data products including schemas and columns.
• Create semantic models to support BI, AI and conversational analytics.
• Document data architecture artifacts for assigned data products.
• Support data engineering and BI engineering during build phases.
• Participate in governance reviews of architectural artifacts.
• Adopt standards and best practices from Data Architecture chapter.

Skills

Data warehouse concepts

Snowflake / HANA

Azure cloud

ER modeling

SQL proficiency

ETL/ELT frameworks

Python

Power BI

Data Governance & Security

Cross-functional collaboration

Education

Bachelor’s degree in computer science, data science, engineering, or related field

Certifications in Data Management / Data Modelling / Cloud services

Tools

ERWIN

ER/Studio

dbt

Pandas

Job description

Job Description:

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.

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.