Data Platform Lead: Lifecycle Analytics & Ops

Anduril Industries, Inc.; Costa Mesa (CA); On-site; USD 145,000 - 190,000; Full time

Benefits offered by this job

Equity grants

Competitive benefits package

Job summary

Anduril Industries is seeking a Data Platform Lead to architect, build, and deploy critical operational tooling across its diverse portfolio. You will bridge the CEO Office and divisional product teams, delivering tailored analytics that unify disparate datasets for centralized executive reporting and decision-making.

The ideal candidate combines business and technical acumen, prioritizing scrappy, rapid solutions with a pragmatic roadmap for scalable improvements.

Qualifications

• 6+ years of experience in data analytics, software engineering, MIS, or similar.
• Direct coding experience, using Python, SQL, React, TypeScript, or similar.
• Deep understanding of data stack tools like Palantir Foundry or Databricks.
• Direct experience owning, leading, and driving adoption of user-facing applications and processes.
• Proven track record of leveraging technical data to solve business problems.
• Demonstrated technical autonomy from roadmap definition to solution rollout and sustainment.
• Proven ability to execute operationally while also thinking strategically.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

Responsibilities

• Own the technical roadmap from conception through delivery to sustainment.
• Partner cross-functionally to deeply understand tools, taxonomies, and ontologies.
• Build custom dashboards and analytical tools.
• Leverage technical and operational data to drive business outcomes.
• Create and iterate on solutions that last.

Skills

Data analytics

Python

SQL

React

TypeScript

Databricks

Palantir Foundry

Tools

Palantir Foundry

Databricks

Job description

Anduril Industries is seeking a Data Platform Lead to architect, build, and deploy critical operational tooling across its diverse portfolio. You will bridge the CEO Office and divisional product teams, delivering tailored analytics that unify disparate datasets for centralized executive reporting and decision-making.

The ideal candidate combines business and technical acumen, prioritizing scrappy, rapid solutions with a pragmatic roadmap for scalable improvements.