Lead Data Platform Engineer - Palantir & Databricks

SMX; Lincoln (NE); On-site; USD 144,000 - 225,000; Full time

Benefits offered by this job

Health insurance

Paid leave

Retirement

Job summary

SMX is seeking a Palantir/Databricks SME to lead data modernization for a DoD-aligned enterprise. You will design data pipelines, migrate legacy business logic to LCNC configurations, and influence how the Army builds its financial management capabilities.

You will architect ingestion from SAP/non-SAP sources, implement reusable data transformations in Palantir Foundry and Databricks, and create secure, bidirectional integrations preserving the legacy ERP as the system of record.

Qualifications

• Active U.S. Secret Clearance (or higher).
• 5+ years of data engineering experience, with hands-on knowledge of Palantir Foundry and Databricks.
• Deep expertise in data architecture, building and optimizing data pipelines, data modeling, and Python scripting for data transformation.

Responsibilities

• Architect and build governed data ingestion pipelines from SAP and non-SAP sources.
• Develop reusable data transformation, validation, and summarization logic within Palantir Foundry and Databricks.
• Engineer secure, bi-directional integration patterns to post and retract data from legacy ERP systems, preserving them as the authoritative system of record.
• Translate functional requirements into robust technical designs, scalable data models, and configurable business rule engines.

Skills

Security clearance

Data engineering

Palantir Foundry

Databricks

Data architecture

Data pipelines

Data modeling

Python scripting

Tools

Palantir Foundry

Databricks

Job description

SMX is seeking a Palantir/Databricks SME to lead data modernization for a DoD-aligned enterprise. You will design data pipelines, migrate legacy business logic to LCNC configurations, and influence how the Army builds its financial management capabilities.

You will architect ingestion from SAP/non-SAP sources, implement reusable data transformations in Palantir Foundry and Databricks, and create secure, bidirectional integrations preserving the legacy ERP as the system of record.