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Data Solutions Architect
Data Solutions ArchitectRecro • Republic Of India, IN
Data Solutions Architect

Data Solutions Architect

Recro • Republic Of India, IN
30+ days ago
Job description

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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