Data Architect

1 day ago

India Recro Full time

Central Data Office – Data Architect Role Summary Our client’s Central Data Office (CDO) aims to build enterprise data sets and treat data as a strategic asset to maximize business value. The Data Architect will collaborate with data architects, SMEs, engineers, and developers to design and govern enterprise-level data architectures, ensuring alignment with corporate data principles and standards. This position reports to the Data Architect Manager. Key Responsibilities - Design and maintain conceptual and logical data models aligned with enterprise data strategy. - Partner with data governance teams to develop and maintain business glossaries, data dictionaries, and catalogs. - Define and implement data management strategies, including master/reference data frameworks. - Ensure data solutions meet requirements for security, access, and classification. - Consult on projects to ensure compliance with enterprise data architecture principles. - Collaborate with business and IT teams to support data needs and improve business processes. - Provide technical guidance and mentoring to data professionals and project teams. Required Skills & Experience - Bachelor’s or Master’s in Computer Science, Engineering, Business, or related field. - 3+ years in data design/architecture with strong understanding of data modeling (conceptual, logical, physical). - Hands-on experience with SQL Server, E/R Studio, data profiling, and data quality analysis. - Knowledge of data governance and MDM (Master Data Management) concepts. - Strong communication, collaboration, and leadership skills; experience working in agile teams. - Self-starter, proactive, and comfortable working in a fast-paced environment. Preferred Skills - Experience with MDM tools (Precisely EnterWorks) and data catalog tools (Collibra). - Knowledge of data warehouse, data lake, and data hub architectures. - Familiarity with XML, JSON, Python, and API integration concepts. - Understanding of TOGAF and DAMA DMBoK v2 frameworks. - Exposure to SAP / HANA and related data extraction tools.

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