Sr Data Architect

Job Details

Relocation assistance may be available.

Clearance required for start:
No

Clearance type:
Secret

Travel:
Yes, 25% of the time.

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon.

We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Northrop Grumman Defense Systems is seeking a Senior Staff Data Architect/Data Scientist. This position will be located at Roy, UT and will support the Sentinel program.

Creates data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets. Analysis may have many applications such as to address a business issue or provide a competitive advantage for the organization. Requires strong statistical and data visualization skills.

• Strategic roadmap:
  Translate business the Chief Data Officers Data and AI Strategy into an executable design
• Strategic roadmap:
  Translate business the Chief Data Officers Data and AI Strategy into an executable design
• Common Data Platform Design:
  Design the data platform that makes data trustworthy, usable, and scalable across the SDS division
• Scalable, secure pipelines:
  Build resilient big‑data pipelines (Spark, Flink, Snowflake, etc.) that meet security classifications, privacy regulations, and governance standards.
• Advanced analytics leadership:
  Champion modern statistical, machine‑learning, and deep‑learning methods (e.g., Bayesian inference, causal‑impact analysis) to solve high‑visibility problems and deliver competitive advantage.
• Technical authority:
  Define and enforce standards for model validation, reproducibility, observability, and continuous delivery of analytic products.
• Team mentorship:
  Provide hands‑on guidance and career development for data scientists, engineers, and analysts, fostering a culture of scientific rigor and innovation.
• Change influence & liaison:
  Drive adoption of emerging data‑technologies, promote data‑centric decision‑making

• T06: 14 Years with Bachelors in Science; 12 Years with Masters; 10 Years with PhD.
• Must be a US citizen with the ability to obtain a USG secret clearance and obtain a SAP (Special Access to Programs)
• Enterprise Scale Data Architectures and Platforms – Proven experience leading data integration across complex, heterogeneous systems to include low‑code data fabric platforms (e.g. Palantir Foundry, Databricks Lakehouse, Microsoft Fabric, IBM Watsonx.data, Denodo, etc) for large‑scale analytics.
• Data Modeling – Strong experience with data modeling and architecture patterns in cloud and hybrid cloud environments.
• Outcome Oriented – Ability to translate data architecture into measurable outcomes (e.g. cost, schedule, performance, decision velocity)
• Digital/Data Modernization – Experience linking data into Digital Threads, and supporting AI/ML data pipelines.
• Programming Proficiency – Strong command of Python, R, or Scala, and experience with big data platforms such as Databricks, Qlik, Cloudera, Hadoop, Spark, or Snowflake.

• Thought Leadership & Vision – Recognized as a subject matter expert who can synthesize multiple disciplines, anticipate future data analytics trends, and influence the organization’s long term strategy.
• Problem Solving Innovation – Track record of developing novel analytical approaches or algorithms that have solved complex, high impact business problems.
• Technical Leadership – Experience providing direction, mentorship, and knowledge…