Lead Data Architect & Engineer (Palantir Foundry)

Harris Geospatial Solutions; Melbourne (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

L3Harris Technologies in Melbourne, FL is seeking a Lead Data Engineer to design, build, and maintain enterprise data pipelines and ontologies using Palantir Foundry, ensuring data quality and availability across the organization.

You will collaborate with cross-functional teams to develop scalable data solutions and dashboards for actionable insights, while training users on the Unified Data Layer and data governance practices.

Qualifications

• Bachelor’s Degree with Palantir experience or Graduate Degree with Palantir experience.
• Minimum of 4 years in 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.

Responsibilities

• Design, build, and maintain robust data pipelines for enterprise data flow.
• Maintain pipeline schedules, orchestrate workflows, and monitor health.
• Create, update, and optimize connections, datasets, and transformations.
• Troubleshoot data sync issues to ensure correct data flow from sources.
• Collaborate with cross-functional teams to uphold data quality standards.
• Use Palantir Foundry to connect sources, extract/load data, and model complex data.
• Develop data cleansing, consolidation, and integration for big data analytics.
• Build visualizations with Palantir Foundry and support user testing and docs.

Skills

Data pipelines

Palantir Foundry

Python

PySpark

Spark SQL

BI and DW

Snowflake

Databricks

Airflow

ETL tools

Education

Bachelor’s Degree

Graduate Degree

Tools

Palantir Foundry

Azure Data Factory

SSIS

Informatica

Talend

Job description

L3Harris Technologies in Melbourne, FL is seeking a Lead Data Engineer to design, build, and maintain enterprise data pipelines and ontologies using Palantir Foundry, ensuring data quality and availability across the organization.

You will collaborate with cross-functional teams to develop scalable data solutions and dashboards for actionable insights, while training users on the Unified Data Layer and data governance practices.