Similar Jobs at Kraft Heinz
Big Data • Cloud • Food • Machine Learning • Software • Database • Analytics
Support BlackLine functionality, system administration, user support, financial process alignment, and reporting. Collaborate with IT and accounting teams for improvements.
Top Skills:
APIsBlacklineFtp ServersHfmSAP
Big Data • Cloud • Food • Machine Learning • Software • Database • Analytics
The Sr. Analyst in Blackline COE will maintain the BlackLine platform, provide user support, generate reports, and ensure compliance with financial processes. The role also involves optimizing system usage and collaborating with IT and finance teams for enhancements.
Top Skills:
Api ConnectionsBlacklineFtp ServersHfmSAP
Big Data • Cloud • Food • Machine Learning • Software • Database • Analytics
The Analyst II, Data Assurance will test internal controls across systems, conduct audits, mitigate risks, and improve processes in the finance sector.
Top Skills:
Oracle EbsSAP
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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