Senior Analyst - Data Architect

Job Description

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.

• 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)

Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.