Drimva

Innodata

Solution Architect

Hybrid - Washington D.C +1 · Remote · Full-time · Posted Jul 9, 2026

Location
Hybrid - Washington D.C
ISL - Remote - US
Experience
10+ years total professional experience; 6+ years in data architecture or platform engineering.
Education
Bachelor's degree in Computer Science, Data Engineering, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.

About the job

Designs the architecture for a secure federal data services platform, including its storefront, governance framework, orchestration, and data controls.

What you'll do

  • Coordinate cross-platform architecture and interfaces; design the DataCard governance framework, including schemas, distribution statements, and provenance lineage.
  • Deploy and configure the ZenML multi-cloud orchestration stack; design taxonomy and sequestration controls.
  • Coordinate security controls, runbooks, and integrations for DLP policy configuration and Databricks write-back.

What they ask for

  • Bachelor's degree in Computer Science, Data Engineering, or related field; equivalent experience may substitute on a 2-for-1 basis.
  • 10+ years total professional experience, including 6+ years in data architecture or platform engineering.
  • Hands-on implementation experience with Databricks, Delta Lake, and MLflow; experience with ZenML or equivalent ML orchestration tooling.
  • Working knowledge of IL4/IL5 boundary concepts, NIST SP 800-53 Rev 5, and DoD data classification requirements; active Secret clearance with TS/SCI eligibility.

Nice to have

  • Master's degree.
  • Prior Innodata or annotation platform architecture experience; MLflow model governance and registry, ontology or taxonomy design, or DoD Directive 5230.24 implementation experience.

Pay

USD $70 to $75 p/hour (hourly salary)

Tools

Databricks, Delta Lake, MLflow, ZenML, Airflow, Prefect, Kubernetes

AI focus

Supports a governed data platform for AI/ML training datasets, including data governance, synthetic data integration, and model orchestration.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)