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Iridium Communications Logo

Manager – Data Management & Engineering

Iridium Communications

Salary not specified
Sep 11, 2025
McLean, VA, USA • Chandler, AZ, USA
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Iridium is seeking to drive data modernization efforts to migrate legacy on-prem data platforms onto a consolidated cloud-based platform, to improve operational efficiencies and decision making.

Requirements

  • Cloud Data Platforms (Snowflake preferred)
  • Strong SQL development skills
  • Data Engineering concepts and tools (dbt, Git, CI/CD, etc.)
  • AWS Cloud Data Tools (S3, Glue, Athena, Step Functions/Lambda, etc.)
  • Familiarity with Business Intelligence platforms such as PowerBI
  • Experience with data governance

Responsibilities

  • Lead and manage the Data Management/Engineering team, ensuring high performance and continuous development
  • Direct the strategic vision for Data Management & Engineering at Iridium and deliver the resulting platform and capabilities
  • Lead a team of data engineering professionals in the creation of data pipelines and build out of our consolidated cloud-based data platform in Snowflake
  • Collaborate with the BI & Analytics teams to design and create Iridium’s data products
  • Ensure accuracy and integrity of Data Engineering deliverables through data validation and quality assurance practices
  • Monitor and optimize the performance, reliability, and cost-effectiveness of cloud data solutions
  • Partner across the Data Management & Analytics group to develop and implement Iridium’s data governance framework

Other

  • Bachelor's degree in Information Systems, Computer Science, Data Science, or a related field
  • 8 years of relevant experience in a data analysis/business intelligence; Minimum 2 years management experience or demonstrated ability to lead a team on a large business intelligence project
  • U.S. Citizenship required
  • Ability to work in the office at least 3 or more days a week to foster collaboration with the team and stakeholders
  • Strong communication skills, with the ability to present complex data concepts in a clear and concise manner to non-technical stakeholders