Data Platform & Analytics Leader

The Boeing Company

El Segundo (CA)

On-site

USD 173,000 - 255,000

Full time

10 days ago
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Benefits offered by this job

Health insurance
Retirement plan
HSA/FSA
Life insurance

Job summary

Millennium Space Systems, a Boeing Company, is seeking a Data Platform & Analytics Manager to lead a team of data engineers, scientists and analysts in El Segundo, CA. You will own enterprise data platform initiatives, drive DevSecOps for data pipelines, and collaborate with cross-functional teams to deliver scalable solutions.

Required: 7+ years in data engineering/science, 3+ years leading teams, US citizenship and ability to obtain a security clearance.

Qualifications

  • Bachelor’s degree in computer science or equivalent years of experience.
  • 7+ years’ experience in data engineering, data science, analytics, or cloud data platform development.
  • 3+ years’ experience in leading technical teams.

Responsibilities

  • Team Leadership - Recruit, coach, and retain a high-performing team of data platform architects, data scientists, analytics/ML engineers, and BI analysts
  • Enterprise Data Platform Ownership - Serve as technical authority for the data platform systems
  • Process & Delivery Excellence - Implement modern DevSecOps for data: CI/CD, IaC, automated testing, architecture decision records, and runbooks
  • Collaboration - Collaborate with cross-functional teams to translate business needs into scalable solutions
  • Roadmap - Support enterprise initiatives including Synapse, Purview, and modernization programs
  • Compliance - Ensure solutions meet ITAR and internal compliance requirements

Skills

Azure Synapse
Purview
Databricks
Leadership
DevSecOps

Education

Bachelor’s degree in computer science or equivalent

Tools

CI/CD
IaC

Job description

Millennium Space Systems, a Boeing Company, is seeking a Data Platform & Analytics Manager to lead a team of data engineers, scientists and analysts in El Segundo, CA. You will own enterprise data platform initiatives, drive DevSecOps for data pipelines, and collaborate with cross-functional teams to deliver scalable solutions.

Required: 7+ years in data engineering/science, 3+ years leading teams, US citizenship and ability to obtain a security clearance.

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