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Specialist, Data Architect

L3Harris Technologies l3harris.com Open
Huntsville Mid-level Data Architecture & Governance

At a glance

Mid-level Data Architecture & Governance role at L3Harris Technologies. Huntsville · no salary stated · we estimate $99,650–$155,000 across the United States.

Estimated pay

L3Harris Technologies has not published a salary for this role. The figure below is our estimate, not theirs.

$99,650 – $155,000
What the middle half of mid-level data architecture & governance roles in the United States paid, among postings that did state a salary.
Worked out from 357 postings that stated pay, median $125,625. Last updated Nov 13, 2026.
RoleData Architecture & Governance
SeniorityMid-level
LocationHuntsville
PostedOct 27, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain data warehouses and pipelines that turn source data into usable business insights
  • Map data transformations and flows, track metadata, and protect pipeline accuracy, access, and security
  • Keep data models, metadata, and business ontologies current so teams can use data consistently
  • Turn reporting and visualization needs into data models, pipelines, and user-facing applications
  • Coordinate with IT and analytics teams on data initiatives, documentation, and governance

What you bring

  • A bachelor’s degree plus four years of related work, a graduate degree plus two years, or eight years without a degree
  • At least two years working with ETL/ELT, storage, and modeling through Foundry Pipeline Builder, Python, or both
  • At least two years using Power BI or a comparable visualization tool
  • You can obtain and maintain a U.S. security clearance

Who this fits

This mid-level role suits someone who can build data solutions and work with business users and technical teams. It is based in Huntsville, Alabama, includes a nine-days-worked out of fourteen schedule, and may require travel up to ten percent.

From the employer

Job Title: Specialist, Data & Business Intelligence Architect

Job Code: 46575

Job Location: Huntsville, AL (Headquarters)

Job Schedule: 9/80: Employees work 9 out of every 14 days- totaling 80 hours worked- and have every other Friday off

Job Description

L3Harris Missile Solutions Segment Business Intelligence team is seeking a Specialist, Data Architect and Engineer to support the design, implementation, and integration of data solutions within Palantir Foundry. This role leads cross-functional teams to enable data-driven decision-making for missile systems development and operations. Responsibilities include data warehouse governance, data quality, data security, access provisioning, and the development of scalable data architectures. The successful candidate will collaborate with users and stakeholders to translate reporting and visualization needs into actionable data models and pipelines, supporting continuous improvement and organizational insight.

Essential Functions

• Assist with the development, design, and maintenance of data warehouses and transformational tools to enable actionable business insights.
• Design, build, and manage data pipelines, including transformation mapping, data flow diagrams, and metadata collection, to ensure accessibility, accuracy, and security.
• Document and maintain conceptual, logical, and physical data models and metadata solutions to support effective data usage.
• Design and maintain data ontologies that accurately represent business entities and relationships to support advanced analytics.
• Participate in planning sessions to improve business processes, prioritize data investments, and translate strategies into integration frameworks and user-facing applications.
• Contribute to methodologies and governance for extracting, transforming, analyzing, and visualizing data from systems such as Snowflake and Palantir Foundry.
• Coordinate cross-functionally with IT and Data Analytics teams to optimize resources, align initiatives, and maintain documentation including pipeline specifications, schemas, and user guides.
• Ability to travel up to 10%.
• Ability to obtain and maintain a U.S. Security Clearance.

Qualifications

Bachelor's Degree with 4 years prior experience, Graduate Degree with 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience.

Preferred Skills

Palantir Foundry Expertise
• Experience building and managing datasets, objects, pipelines, and transforms in Foundry.
• Experience designing and implementing ontologies in Foundry.
• Experience creating Foundry applications and workshops for end users.
• Experience with Foundry code repositories (Python, SQL, TypeScript).

Technical Skills
• 2+ years of experience with ETL/ELT patterns, data storage, and data modeling using Foundry Pipeline Builder and/or Python.
• 2+ years of experience with Power BI or similar visualization tools.
• Experience working with Palantir Foundry in a data warehouse environment.
• Familiarity with role-based access control, principle of least privilege, and segregation of sensitive data.

Professional Skills
• Ability to adapt to evolving technologies and alternate solutions.
• Strong verbal and written communication skills, customer focus, and interpersonal effectiveness.
• Ability to translate data requirements into user-oriented solutions using established procedures and basic analytical methods.
• Strong attention to detail and ability to work with minimal oversight.
• Experience collaborating with cross-functional teams in an agile environment.
• Demonstrated ability to solve complex problems, conduct research, and implement effective solutions.

Opportunity

Data Architecture & Governance work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Architecture & Governance

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Architecture & Governance work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.