Data Architect

Job Title: Data Architect Company: Kraft Heinz Job Category: Data Science Roles & Responsibilities: Job Description ------------------- 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. * Designs and implements semantic models following established standards, supporting BI reporting, AI applications, and conversational analytics use cases. * Supports Data Engineering and BI Engineering teams during the build phase * 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. * Strong background in data warehouse implementation. * 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. Work Location: KA, India Availability: Full time

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 -------------- * 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. * CPG experience with knowledge in domain specific concepts is beneficial * 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) * Python or similar programming language experience * Business Process and SAP functional understanding with an analytics background (preferred SAP ECC/S4, BW, HANA, BI, ARIBA experience) is a plus Key Skills: Data Science, Python, SQL, Pandas, Power BI Salary: Not disclosed