GeekSoft Consulting

Data Architect

Amsterdam, NH, NL

10 days ago
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Summary

  • Help design, build and continuously improve the clients online platform.
  • Research, suggest and implement new technology solutions following best practices/standards.
  • Take responsibility for the resiliency and availability of different products.
  • Be a productive member of the team.



Requirements

  • Develop and maintain the enterprise-wide data architecture strategy, ensuring alignment with overall business objectives and strategic priorities.
  • Champion the adoption of data lakehouse architecture, articulating its benefits to both technical and business stakeholders.
  • Define and implement data management KPIs, OKRs, standards, policies, and procedures to ensure data quality, consistency, security, and regulatory compliance.
  • Design and build conceptual, logical, and physical data models to support data integration, warehousing, and analytics across the organization.
  • Collaborate with the central data office and business stakeholders to gather data requirements and translate them into scalable, robust technical solutions.
  • Create and maintain architectural documentation including High-Level Designs (HLD), Low-Level Designs (LLD), Data Flow Diagrams (DFDs), and strategic planning papers.
  • Evaluate, select, and recommend modern data technologies and tools to enhance the bank’s data management capabilities.
  • Stay current on emerging trends, tools, and best practices in data architecture and governance.
  • Simplify and promote data governance frameworks to ensure compliance with regulatory requirements and data privacy standards.
  • Define roles and responsibilities across central and domain teams to support a federated data architecture model.
  • Collaborate closely with IT teams, business units, and third-party vendors to ensure alignment between data architecture and business needs.
  • Effectively communicate complex data strategies and architectural concepts to non-technical stakeholders.
  • Monitor, assess, and optimize the performance, scalability, and efficiency of the overall data architecture.



Benefits

  • A challenging, innovating environment.
  • Opportunities for learning where needed.

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