Lead, Data Engineer
At a glance
Senior Data Engineering role at L3Harris Technologies. Tallahassee.
In listing Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Guide data-platform architecture and check that related work follows company standards
- Review proposed data sources, pipelines, models and ontology designs, then give teams practical improvements
- Oversee pipeline design and maintenance, with attention to scale, reuse and performance
- Use Palantir Foundry for data integration and ontology management, and help set enterprise governance and metadata standards
- Create architecture and lifecycle documentation, break requirements into workable parts, and recommend platform improvements
What you bring
- A bachelor’s degree plus at least nine years using Palantir, or a graduate degree plus seven years
- Without a degree, at least thirteen years of Palantir experience
- At least four years developing data pipelines or using ETL tools, and four years in data integration
Who this fits
This senior technical role suits someone who can lead architecture reviews and guide pipeline design. The role can be based in Melbourne, Florida, or performed remotely, and follows a nine-day, eighty-hour schedule with every other Friday off.
From the employer
Job Title: Lead, Data Engineer
Job Code: 44182
Job Location: Melbourne, FL or Remote Opportunity
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 Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards, maintaining data frameworks, conducting data cleansing, orchestrating data pipelines, and ensuring data consolidation. The selected individual will play a pivotal role in maintaining ontologies, building scalable data solutions, and developing dashboards to provide actionable insights for the enterprise within Palantir Foundry. This position will support the company’s modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.
Essential Functions:
- Provide architectural oversight for the company’s data platform and related initiatives, ensuring alignment with company standards and best practices
- Assist development initiatives with design reviews, offering guidance on architecture and data modeling
- Lead design reviews for proposed solutions, including data sourcing, data pipelines, data models, and ontology resources, providing actionable feedback to enhance design scalability
- Assist and develop architectural artifacts, perform requirements decomposition, and develop other documentation to support the software development lifecycle (SDLC)
- Support the SDLC process by participating in data architecture review sessions, reviewing proposed solutions for compliance with architectural standards
- Oversee and provide guidance for data pipelines, ensuring scalability, reusability, and performance
- Utilize Palantir Foundry to perform data integration and ontology management to support big data analytics at scale
- Collaborate with cross-functional teams to define data governance, metadata, and ontology standards, ensuring consistency and clarity across the data platform and enterprise
- Remain current with emerging data technologies and frameworks to recommend improvements to the data platform architecture
Qualifications:
- Bachelor’s Degree and minimum 9 years prior Palantir experience or Graduate Degree and a minimum of 7 years of prior Palantir experience In lieu of degree, minimum 13 years of prior Palantir experience.
- Minimum of 4 years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python.
- Minimum of 4 years of experience in Data Integration.
Preferred Additional Skills:
- Experience supporting or implementing solutions that leverage Generative AI capabilities, including Retrieval-Augmented Generation (RAG), semantic search, and LLM integration
- Experience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst
- Understanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies
- Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages
- Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar
- Hands on Experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repository, or similar technologies leveraging PySpark and Spark SQL
- Familiarity with SDLC processes and architecture review or data governance board processes
In compliance with pay transparency requirements, the salary range for this role in California, Connecticut, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $127,000-$236,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maine, Maryland, Minnesota, New York state, Vermont and Virginia is $110,500-$205,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.