Remote Data Platform Leader (Azure & Databricks)

World Business Lenders, LLC

United States

Remote

USD 180,000 - 240,000

Full time

5 days ago
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Job summary

World Business Lenders, LLC is seeking a Data Engineering and Platform Manager to lead two teams and shape the analytics data foundation on Azure and Databricks. Reporting to the Chief Data and Analytics Officer, you will set architecture standards and own the platform roadmap while staying technically engaged in priority delivery.

The role blends hands-on delivery with leadership, balancing performance, cost discipline, and scalable data capabilities to support fast business endpoints and

Qualifications

  • Twelve+ years in data engineering, platforms, or architecture; at least five years leading teams.
  • Proven ability to coach senior technical staff, set standards, manage incidents, and drive roadmaps with business leaders.
  • Experience designing business-ready data models and gold-layer datasets from downstream product needs.

Responsibilities

  • Lead two Team Leads and four Analysts; set priorities and ensure capacity.
  • Oversee data ingestion, transformation, and delivery from design to production with Azure/Databricks.
  • Define target architecture, modernization priorities, and cost discipline for the analytics platform.
  • Partner with analytics, security, and product owners to enforce data governance and interface contracts.

Skills

Azure
Databricks
Data modeling
ETL/ELT
Leadership
Team management
Cloud computing
SQL
CI/CD

Education

Bachelor's degree in CS/Engineering

Tools

CI/CD tooling
Observability tools

Job description

World Business Lenders, LLC is seeking a Data Engineering and Platform Manager to lead two teams and shape the analytics data foundation on Azure and Databricks. Reporting to the Chief Data and Analytics Officer, you will set architecture standards and own the platform roadmap while staying technically engaged in priority delivery.

The role blends hands-on delivery with leadership, balancing performance, cost discipline, and scalable data capabilities to support fast business endpoints and

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