Staff Data Architect/Scientist

Northrop Grumman

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Roy, UT
Salary
$168,200–$252,200 / yr
Employment
Full-time
Posted
13 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $194k
This role $210k
$130k $266k
below market most similar roles pay here above market

This role pays more than 56% of similar roles. Most pay $157,095–$230,737 — the blue band above. At the midpoint, this role pays about $210k versus about $194k for comparable roles.

Based on 240 similar postings.

Employer

About Northrop Grumman

Northrop Grumman is a leading global aerospace and defense technology company providing systems in autonomous systems, cyber, C4ISR, space, strike, and logistics. Industry: Aerospace & Defense

Northrop Grumman currently has 502 open roles on FindRole.

Listed pay typically runs $119,600–$185,000 across 285 roles with salary data.

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At a glance

TL;DR · Staff Data Architect/Scientist

The Staff Data Architect/Scientist will support the Sentinel program by creating data mining architectures, models, and protocols to identify trends in large datasets. This role involves designing a common data platform to ensure data is trustworthy and scalable across the SDS division. Key responsibilities include building resilient big-data pipelines, translating data and AI strategies into executable designs, and championing modern statistical, machine-learning, and deep-learning methods like Bayesian inference. The candidate must utilize technologies including Spark, Flink, Snowflake, Python, R, and Scala, while managing platforms like Databricks, Qlik, or Palantir Foundry. The position requires providing technical leadership, mentoring teams, and establishing standards for model validation and reproducibility within a high-security defense and aerospace domain context to solve complex business problems.

What you'll do

  • Create data mining architectures, models, and protocols to identify trends in large datasets.
  • Translate the Chief Data Officer’s Data and AI Strategy into an executable design roadmap.
  • Design a scalable and secure common data platform for the SDS division.
  • Build resilient big-data pipelines using Spark, Flink, or Snowflake that meet security and governance standards.
  • Champion modern statistical, machine-learning, and deep-learning methods to solve high-visibility problems.
  • Define and enforce standards for model validation, reproducibility, and continuous delivery of analytic products.
  • Provide hands-on guidance and career development for data scientists, engineers, and analysts.
  • Serve as an organization spokesperson and advisor on advanced technical research studies and applications.

What we're looking for

  • Must be a US citizen with the ability to obtain a USG Secret clearance and a Special Access to Programs (SAP) clearance.
  • Must have 12 years of experience with a Bachelor of Science, 10 years with a Master's, or 8 years with a PhD.
  • Must have proven experience leading data integration across complex systems using low-code data fabric platforms like Palantir Foundry or Databricks.
  • Must have strong experience with data modeling and architecture patterns in cloud and hybrid cloud environments.
  • Must have strong command of Python, R, or Scala and experience with big data platforms such as Databricks, Spark, or Snowflake.
  • Must have experience linking data into Digital Threads and supporting AI/ML data pipelines.
  • Must have the ability to translate data architecture into measurable outcomes like cost, schedule, and performance.
  • Certifications such as AWS Certified Big Data – Specialty or Google Professional Data Engineer are preferred.

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