Data Architect Jobs

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Responsibilities of the Role
  • Subject matter expertise in technology infrastructure (Compute, Storage, backup, network, cloud) and asset lifecycle management
  • Understand and deliver data modeling requirements physical and logical data modeling
  • Drive data quality enhancements at scale to solve business problems in a prioritized manner
  • Build and support data flow integration between different products increasing the capabilities of our product and expanding its use across the firm
  • Ability to understand and deliver client requirements end to end for reference data and data lake aligned use cases
  • Ensure proper risk management process is adhered too, to mitigate risk exposure for the firm
  • Client centric focus ensure a positive user experience by our consumers
Hard Skills / Requirements
  • Technology Infrastructure Expertise
    • Ability to understand in depth how technology products are delivered (e.g. virtual server infrastructure technology, block storage, industry leading cloud providers)
    • Ability to understand what data needs to be collected and how it can be collected to meet the firms requirements
    • Understand of disaster recovery (DR) requirements, how a technology organization would plan and assess readiness for DR scenarios including technology products used to achieve DR readiness
  • Strong Data Architecture experience
    • Advanced understanding of reference data, data lake, and other information system solutions
    • Experience integrated multiple systems together to create an intelligent and resilient information system solution
    • Ability to use industry standard tools to create logical and physical data models for technology infrastructure and reference data
  • Information System Design
    • Experience delivering or supporting information systems using extract, translate, load (ETL) and publishing methods
    • Understanding the right technical solution to represent the data appropriately to meet the client requirement
    • Experience with performance tuning of information systems (e.g. streamlining ETLs to run faster)
  • Data Quality Experience
    • Understanding the core concepts of data qualityhow to measure improve
    • Ability to analyze data for data quality gaps
    • Understanding what data quality issues pose the greatest risks to the firms operations and raising those to governance effectively
Soft Skills/attributes required for this Role
  • Experience at a large multinational company
  • Collaborative personality ability to deliver in coordination with many different teams
  • Strong communication skills ability to provide clarity and focus to projects while working with both engineering groups as well as senior management
  • Strong presentation skills ability to create professional presentations and present clear stories to large audiences
  • Self-motivated desire to take on increasing responsibility over time
  • Autonomous ability to understand their role in depth and make decisions independently

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