Lead, IT Architecture (Data Engineer)
At a glance
Senior Data Engineering role at L3Harris Technologies. Melbourne · no salary stated · we estimate $142,500–$193,650 across the United States.
L3Harris Technologies has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain enterprise data pipelines, keeping schedules, workflows and pipeline health under control
- Connect source applications in Palantir Foundry, then shape the extracted data into logical models for business needs
- Clean, consolidate and integrate data so it can support large-scale analytics
- Create Foundry visualizations and help business users test them, resolve issues and prepare maintenance guides
- Work with other teams to uphold data quality and keep data accurate for users
What you bring
- A bachelor’s degree plus at least nine years using Palantir, or a graduate degree plus seven years; equivalent experience can replace a degree
- At least four years developing data pipelines or using ETL tools, and four years working in data integration
- Experience with Palantir Foundry is central to the role’s pipeline, connection and modeling work
Who this fits
This senior role suits an experienced Palantir data engineer who can build pipelines and support data quality, models and user-facing visualizations. You’ll work on site in Melbourne, Florida, on a 9/80 schedule, with every other Friday off.
From the employer
Job Title: Lead, IT Architecture (Data Engineer)
Job Code: 35910
Job Location: (On Site) Melbourne, FL
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:
- Design, build, and maintain robust data pipelines to ensure reliable data flow across the enterprise.
- Maintain data pipeline schedules, orchestrate workflows, and monitor the overall health of data pipelines to ensure continuous data availability.
- Create, update, and optimize data connections, datasets, and transformations to align with business needs.
- Troubleshoot and resolve data sync issues, ensuring consistent and correct data flow from source systems.
- Collaborate with cross-functional teams to uphold data quality standards and ensure accurate data is available for use.
- Utilize Palantir Foundry to establish data connections to source applications, extract and load data, and design complex logical data models that meet functional and technical specifications.
- Develop and manage data cleansing, consolidation, and integration mechanisms to support big data analytics at scale.
- Build visualizations using Palantir Foundry tools and assist business users with testing, troubleshooting, and documentation creation, including data maintenance guides.
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 with designing and developing data pipelines in PySpark, Spark SQL, SQL or Code Build.
- Experience in building and deploying data synchronization schedules and maintaining data pipelines using Palantir Foundry.
- Strong understanding of Business Intelligence (BI) and Data Warehouse (DW) development methodologies.
- Hands-on experience with the Snowflake Cloud Data Platform, including data architecture, query optimization, and performance tuning.
- Proficiency in Python, PySpark, Pandas, Databricks, JavaScript, or other scripting languages for data processing and automation.
- Experience with other ETL tools such as Azure Data Factory (ADF), SSIS, Informatica, or Talend is highly desirable.
- Familiarity with connecting and extracting data from various ERP applications, including Oracle EBS, SAP ECC/S4, Deltek Costpoint, and more.
- Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex or similar.
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