Data Architect

Kraft Heinz; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Kraft Heinz, Inc. in Bengaluru is seeking a Data Architect to help implement data architecture across sub-domains, ensuring data assets are organized, secure, and accessible to stakeholders.

You will work with product owners, data scientists, and BI engineers to translate business needs into scalable data solutions. The role emphasizes designing data models, semantic layers, and governance artifacts, while coordinating with data engineering and BI teams during builds.

Qualifications

• Bachelor’s degree in computer science, data science, engineering, or related field.
• 3+ years of experience in design and implementation of scalable data models.
• Experience with data warehouse implementations and ER modeling.
• Proficient in SQL and Python; familiar with BI tools.

Responsibilities

• Collaborates with Product owners, Business stewards, BI Engineers, Data Scientists and end users to understand data consumers’ needs and develop data products within the sub-domain.
• Designs data models for Source data products and Master data products including schema definitions.
• Implements semantic models to support BI reporting, AI applications, and analytics use cases.
• Documents Data Architecture artifacts for assigned data products.
• Supports Data Engineering and BI Engineering during the build phase.
• Design and develop data products within Finance Planning & Analysis subdomain under Finance domain.
• Adopt and enforce standards and best practices.
• Collaborate with cross-functional teams including data scientists and stakeholders.

Skills

Data warehouse concepts

Advanced SQL

ETL/ELT frameworks

Python programming

BI tools (Power BI)

Data governance

Cloud services (Azure)

SAP analytics

Education

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

Tools

ERWIN

ER/Studio

Job description

Job DescriptionData ArchitectRole 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 objectivesResponsibilities 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 stakeholdersSkills 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 skillsLocation(s)Bengaluru - Brookfield GCCKraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes .