Similar Jobs at Kraft Heinz
Big Data • Cloud • Food • Machine Learning • Software • Database • Analytics
The Manager, Global GBS oversees operational functions, drives team performance, and ensures compliance with global standards within the GBS framework.
Big Data • Cloud • Food • Machine Learning • Software • Database • Analytics
This role involves managing data reconciliations, creating dashboards, supporting audits, and governance of new data objects. The candidate should drive improvement and handle large datasets with autonomy.
Top Skills:
HfmOraclePower BISAPSnowflake
Big Data • Cloud • Food • Machine Learning • Software • Database • Analytics
As a Cloud Ops Financial Analyst, you will manage cloud expenditures, identify cost-saving opportunities, collaborate with teams, and implement financial governance policies.
Top Skills:
AnsibleAWSAws Cost ExplorerAzureAzure Cost AnalysisGCPGoogle Cloud Cost ManagementPower BISQLTerraform
Job Description
General Information
Role Description: The data architect is responsible for designing, creating, and managing an organization's data architecture. This role is critical in establishing a solid foundation for data management within an organization, ensuring that data is organized, structured, accessible, secure, and aligned with business objectives.
Responsibilities
Education
Experience
Skills
Location(s)
Ahmedabad - Venus Stratum 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.
General Information
Role Description: The data architect is responsible for designing, creating, and managing an organization's data architecture. This role is critical in establishing a solid foundation for data management within an organization, ensuring that data is organized, structured, accessible, secure, and aligned with business objectives.
Responsibilities
- Interact & Influence business stakeholders to secure strong engagement and ensures that the data & analytical product delivery aligns with longer-term strategic roadmaps
- Design & contribute towards the structure and layout of lake house architecture optimizing data storage, and establishing data access controls and security measures
- Implement the long-term Data & Analytics strategy and deliver functional objectives
- Assess requirement feasibility, translates high-level business requirements into data requirements, appropriate metadata, test data, and data quality standards
- Explore Data Sources by working with Application owners to confirm datasets to be extracted
- Contribute to establishing and implementing database structure, including schema design, table definitions, column specifications, and naming conventions
- Design Data models for Source data products, Master data products & Insight data products.
- Document Data Architecture artifacts for different Data Products and solutions and perform peer review across various functions.
- Support Data Engineering and BI Engineering teams during the build phase
- Review Data models development, validate and provide deployment approval
- Work closely with data stewards and governance functions to continuously improve data quality and enhance the reliability of data model(s).
- Simplify the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company
- Leads and participates in the peer review and quality assurance of project architectural artifacts across the Data Architecture group through governance forums
- Collaborate and contribute to the development and enhancement of standards, guidelines, and best practices within Data Architecture discipline.
- Works with Product owners, Business stewards, Data Scientists and end users to understand data consumers' needs and develop data products/ data solutions
- Evaluates and recommends emerging technologies for data management, storage, and analytics
Education
- A bachelor's degree in computer science, data science, engineering, or related field
Experience
- At least five years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives
- Translate business requirements and ability to guide solution design & architecture in developing Data Products
- Develop scalable, high-performance, and reusable data models that can be efficiently utilized across different data initiatives and help in generating actionable insights
- Work collaboratively with data stewardship and governance functions to continuously improve data quality and enhance the reliability of data models
- Ability to navigate and collaborate with cross-functional teams involving data scientists, business analysts, and stakeholders
- Strong Business Process and Functional understanding with an Analytical background
- CPG experience with knowledge in domain specific concepts is a plus
- Knowledge on Agile methodologies with experience working on tools such as Jira & Confluence
Skills
- Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake)
- Experience with database technologies such as SQL, NoSQL, Snowflake, HANA
- Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques
- Experience building enterprise data models (Logical, Physical, Conceptual) and data modeling tool experience a plus (ERWIN, ER/STUDIO, etc.)
- Strong Business Process and SAP functional understanding with an analytics background (preferred SAP ECC/S4, BW, HANA, BI, ARIBA experience) is a plus
- Expert-level SQL skills
- Experience with enterprise scale data engineering orchestration frameworks/ELT tools and common data engineering Python libraries (dbt, pandas, great expectations, etc.) is a plus
- Experience with business intelligence tools and technologies such as Power BI & Tableau
- Strong analytical and problem-solving skills
- Understanding of Data Governance principles and practices including Data Quality, Data Security and compliance
- Ability to think strategically on the use of data within the Organization that support both current and future needs.
- Excellent communication and interpersonal skills for stakeholder management and cross-functional collaboration.
Location(s)
Ahmedabad - Venus Stratum 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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