Principal Data Engineer

L3Harris Technologies

. Provide architectural oversight for the company’s data platform and related initiatives .

Posted 10/15/2026full-timeRemote • Florida • United StatesLead💰 $133,000 - $247,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in data architecture and integration, particularly with Palantir Foundry, while leading design reviews and ensuring compliance with architectural standards. Proficient in developing scalable data pipelines and architectural artifacts to support big data analytics and governance.

Highest-signal resume keywords

Palantir Foundry ExperienceData Pipeline DevelopmentData Architecture OversightETL Tools ProficiencySDLC Documentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData ModelingData IntegrationData Pipeline DevelopmentPySparkSpark SQLPythonETL ToolsBig Data AnalyticsData Governance

Soft Skills

CollaborationLeadershipCommunication

Tools & Technologies

Palantir FoundryAzure Data FactorySSISDatabricksOpenAISnowflake Cortex

Industry Keywords

Data GovernanceMetadata ManagementOntology ManagementBI DevelopmentData Warehouse Development

Tech Stack

Tools & technologies

AzureETLJavaScriptPandasPySparkPythonSDLCSparkSQLSSISTypeScript

About the role

Key responsibilities & impact

Provide architectural oversight for the company’s data platform and related initiatives
Assist development initiatives with design reviews, architecture guidance, and data modeling
Lead design reviews covering data sourcing, data pipelines, data models, and ontology resources
Develop architectural artifacts, perform requirements decomposition, and create SDLC documentation
Participate in data architecture review sessions and assess compliance with architectural standards
Oversee and guide data pipelines for scalability, reusability, and performance
Use Palantir Foundry for data integration and ontology management supporting big data analytics at scale
Collaborate with cross-functional teams to define data governance, metadata, and ontology standards
Monitor emerging data technologies and frameworks and recommend platform architecture improvements
Support the Unified Data Layer through data pipeline development and maintenance, platform design, documentation, and user training

Requirements

What you’ll need

Bachelor’s Degree and minimum 12 years prior Palantir experience, or Graduate Degree and a minimum of 10 years of prior Palantir experience
In lieu of degree, minimum 16 years of prior Palantir experience
5+ years of experience as a data architect or in a senior data engineering role
4+ years of experience with data pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python
5+ years of overall data integration experience in Palantir Foundry or similar data integration tools
Experience with Palantir Foundry platforms, Generative AI capabilities, RAG, semantic search, and LLM integration preferred
Hands-on experience developing data pipelines using PySpark and Spark SQL preferred
Experience with Palantir Foundry tools including Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst preferred
Understanding of Foundry’s Ontology, operational workflows, and governed data assets preferred
Familiarity with SDLC processes, architecture review, and data governance board processes preferred
Understanding of BI and data warehouse development methodologies preferred
Experience with Python, Pandas, Databricks, JavaScript, TypeScript, or other scripting languages preferred
Experience with AI tools such as OpenAI, Palantir AIP, or Snowflake Cortex preferred

Benefits

Comp & perks

Health and disability insurance
401(k) match
Flexible spending accounts
Employee assistance program (EAP)
Education assistance
Parental leave
Paid time off
Company-paid holidays
9/80 schedule with every other Friday off
Reasonable accommodation for individuals with disabilities