Data Warehouse Architect

Data Warehouse Architect

Data warehouse Architect / Consultant @Hunt Jobs in IT Sectors
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Job Description

Here’s a breakdown of key responsibilities and qualifications:

Responsibilities:

  • Requirements Gathering & Analysis: Understand client needs, participate in discussions, and drive clarity for effective project execution.
  • System Design & Architecture: Design the overall data warehouse system, subsystems, and create detailed design documents.
  • Project Lifecycle Engagement: Participate in all project phases, from requirements gathering to delivery and support.
  • Innovation & Best Practices: Leverage the latest technologies (Azure Cloud, data warehousing, data analytics) and promote best practices within the team.
  • Technical Leadership: Mentor and guide team members, ensuring quality deliverables and skill development.
  • Quality Assurance: Enforce data systems development best practices through processes, training, and reviews.

Qualifications:

  • Strong Technical Expertise: 12-15 years of experience in data warehousing, with 5+ years in SQL Server and 2+ years in Azure data services.
  • Technical Leadership: 5+ years of experience in leading technical teams and driving the design of large-scale systems.
  • Hands-on Experience: Proven ability to both code and guide junior/mid-level engineers.
  • Communication & Interpersonal Skills: Excellent communication (written and verbal) for client interaction.
  • Domain Knowledge: Experience in the financial domain, particularly with securities trading, is a plus.

Preferred Qualifications:

  • Experience with FIS APIs, NoSQL databases (like MongoDB), and data visualization tools (like Power BI).
  • Experience with open-source technologies and cloud-based reporting systems.

Key Skills:

  • Data warehousing
  • SQL Server
  • Azure Cloud (Data Factory, Synapse, Storage)
  • Data analytics
  • System design
  • Performance tuning
  • Coding
  • Technical leadership
  • Communication

This role requires a highly skilled and experienced individual with a strong understanding of data warehousing principles, cloud technologies, and the ability to lead and mentor a team.

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