Senior Palantir/Databricks Data Architect - Secret Clearance

SMX

Boston (MA)

On-site

USD 144,000 - 225,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Paid leave
Retirement plan

Job summary

SMX is hiring a Palantir/Databricks SME to lead a government-focused legacy modernization effort. You will architect and build data pipelines, transform legacy logic into a configurable LCNC solution, and shape how DoD financial systems scale on an enterprise data platform.

Responsibilities include integrating SAP sources, developing reusable data transformations, and ensuring secure, authoritative data patterns across ERP systems. A Secret clearance and 5+ years in data engineering are required.

Qualifications

  • Active U.S. Secret Clearance required.
  • 5+ years of data engineering with Palantir Foundry and Databricks.
  • 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 designs, scalable data models, and configurable business rule engines.

Skills

Data engineering
Python
Data architecture
Data modeling
Security clearance

Tools

Palantir Foundry
Databricks

Job description

SMX is hiring a Palantir/Databricks SME to lead a government-focused legacy modernization effort. You will architect and build data pipelines, transform legacy logic into a configurable LCNC solution, and shape how DoD financial systems scale on an enterprise data platform.

Responsibilities include integrating SAP sources, developing reusable data transformations, and ensuring secure, authoritative data patterns across ERP systems. A Secret clearance and 5+ years in data engineering are required.

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