Senior Data Platform Architect – Palantir & Databricks

SMX; Topeka (KS); 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 Foundry and Databricks SME to act as the lead technical authority for modernization of enterprise data platforms. You will shape data pipeline design, integrate legacy ERP data, and evolve business rules within a configurable LCNC solution for the Army's financial management capabilities.

You will architect ingestion from SAP/non-SAP sources, build reusable transformation logic, and ensure secure, scalable data models while collaborating with mission-focused teams to

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

Palantir Foundry

Databricks

Data architecture

Data pipelines

Python scripting

Tools

Palantir Foundry

Databricks

Job description

SMX is seeking a Palantir Foundry and Databricks SME to act as the lead technical authority for modernization of enterprise data platforms. You will shape data pipeline design, integrate legacy ERP data, and evolve business rules within a configurable LCNC solution for the Army's financial management capabilities.

You will architect ingestion from SAP/non-SAP sources, build reusable transformation logic, and ensure secure, scalable data models while collaborating with mission-focused teams to