Data Architect

Job DescriptionData ArchitectGeneral 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 objectivesResponsibilitiesWorks 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 extractedDesigns 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 productsSupports Data Engineering and BI Engineering teams during the build phaseParticipate in the peer review and quality assurance of project architectural artifacts across the Data Architecture group through governance forumsAdopt and enforce the set standards, guidelines, and best practices established by Data Architecture chapterDesign 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.EducationBachelor’s degree in computer science, data science, engineering, or related field.Certifications in Data Management, Data Modelling and Cloud services are preferred.ExperienceAt 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 requirementsKnowledge 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 beneficialAbility to navigate and collaborate with cross-functional teams involving data scientists, business analysts, and stakeholdersSkillsStrong Datawarehouse concepts and experience with data warehouse platforms such as Snowflake, HANAExperience with cloud services providers such as AzureStrong understanding of entity-relationship modeling, metadata systems, and data quality tools and techniquesExtensive hands-on experience with enterprise data modeling (Logical, Physical, Conceptual ERD). Data modeling tool experience a plus (like ERWIN)Advanced SQL skillsKnowledge of ETL/ELT frameworks, tools and processesPython or similar programming language experienceUnderstanding of Business intelligence tools and technologies such as Power BIBusiness Process and SAP functional understanding with an analytics background (preferred SAP ECC/S4, BW, HANA, BI, ARIBA experience) is a plusUnderstanding of Data Governance principles and practices including Data Quality, Data Security and ComplianceExcellent communication and interpersonal skills for stakeholder management and cross-functional collaboration.Strong analytical and problem-solving skillsLocation(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.