Database Architect

The Internal Revenue Service (IRS) is executing a transformative migration initiative to modernize core tax systems, legacy COBOL applications, and data processing pipelines into the Palantir Foundry platform. We are seeking elite-level data engineers, developers, and scientists to support the end-to-end extraction, transformation, and orchestration of IRS data and business logic from legacy mainframes (IBM z/OS), Windows, and RHEL environments into secure, containerized, and cloud-ready frameworks.

This role is part of a high-visibility federal initiative to centralize IRS data, retire monolithic legacy systems, and operationalize insights across compliance, case management, and tax examination workflows. Successful candidates will be hands-on experts in legacy data modernization, pipeline engineering, and orchestration of services across secure enclaves.

Key Responsibilities:

• Analyze, extract, and document COBOL logic and legacy data structures from IRS mainframe applications (z/OS)

• Reconstruct and replatform legacy business rules into modern data pipelines within Palantir Foundry

• Migrate and containerize legacy applications and services into scalable, API-accessible frameworks

• Engineers performant, fault-tolerant ETL/ELT pipelines for massive IRS datasets (>10B records)

• Design and implement reproducible data ingestion workflows using Palantir's ontology and pipeline paradigms

• Coordinate with IRS stakeholders to validate data fidelity, lineage, and governance requirements

• Integrate disparate data sources (IDRS, CADE2, IMF/BMF, WIN/RHEL DBs) into a unified schema for operational intelligence

• Lead decommissioning analysis and phased retirement of legacy environments

Required Skills & Experience:

• 10+ years of experience in legacy modernization, federal data engineering, or mainframe-to-cloud migrations

• Deep experience with COBOL, JCL, DB2, VSAM, and z/OS mainframe environments

• Expert-level Python, SQL, Spark, and modern ETL frameworks (e.g., Airflow, Databricks)

• 3+ years working with Palantir Foundry or comparable high-side data fusion platforms

• Strong background in containerization (Docker, Podman), Linux (RHEL), and distributed computing

• Proven experience engineering secure data pipelines and maintaining NIST 800-53/IRS Publication 1075 controls

• Familiarity with IRS data domains (e.g., CADE2, IDRS, EUP, ECC-MTB) is a major plus

Preferred Qualifications:

• IRS or Treasury modernization experience

• Palantir Ontology, Code Workbooks, and ObjectType configuration knowledge

• Experience with Terraform, Ansible, or CI/CD for infrastructure as code

• Experience deconstructing monolithic COBOL apps and mapping to data-driven microservices

• Familiarity with IRS SDLC, ECM, or CDM systems

Why This Matters:

This role directly supports the IRS's strategic vision to unlock legacy data, deprecate brittle systems, and move toward a unified tax data platform hosted within Palantir. The IRS's future state will rely on secure, portable, reusable data services, and your work will be foundational in making that vision real.