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Data Architect

heinz1,211 open roles

Where
Bengaluru - Brookfield GCC
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Your applicationOpen nowData Architectheinz · Bengaluru - Brookfield GCC

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The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. heinz postings stay open a median of 16 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted today

heinz median: 16 days open

The posting

Job Description

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

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.

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