Hiring.Camp

Data Architect

Heinz is

·

Today

Location
Bengaluru - Brookfield GCC, India
Type
Full-time
Department
Engineering
Experience
3+ years
Closing date
Today
Source
Workday

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.

Skills

PythonAzureSQLSnowflakeData ScienceData EngineeringETLJiraConfluenceSAPPower BIAgileCompliance

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