Innodata Inc.

Innodata Inc.

Solution Architect

Hybrid - Washington D.C

No sponsorship$70k-$75kDetected 1 day ago
TypeScriptDatabricksKubernetesPlatform EngineeringMachine LearningAirflowData EngineeringLLMs

About the role

  • It's a role for an architect who cares as much about data stewardship and governance as about elegant systems.

Responsibilities

  • Own cross-pillar architectural integrity and interface coordination across the 24-week program
  • Design and stand up the DataCard governance framework: schema design, distribution-statement methodology (DoD Dir. 5230.24), provenance lineage
  • Lead platform component run books and per-DataCard documentation in Phase E

Requirements

  • 10+ years total professional experience, 6+ years in data architecture or platform engineering
  • must be willing to ramp ZenML quickly)
  • Working knowledge of IL4/IL5 boundary concepts, NIST SP 800-53 Rev 5, and DoD data classification requirements
  • 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.
  • Databricks, Delta Lake, and MLflow - hands-on implementation experience, not conceptual
  • Ontology and taxonomy design for AI/ML training datasets

Nice to have

  • Prior Innodata or annotation platform architecture experience
  • MLflow model governance and registry hands-on experience
  • DoD Directive 5230.24 distribution statement implementation experience
  • Master's degree preferred.
  • Equivalent experience may substitute for degree on a 2-for-1 basis.
  • Bachelor's degree in Computer Science, Data Engineering, or related field required

Skills

  • Deploy and configure ZenML multi-cloud orchestration stack per Innodata Layer 2 Multi-Cloud Architecture v3
  • Design taxonomy engine and sequestration controls architecture
  • Confirm NIST SP 800-53 Rev 5 control split between Innodata data-layer and AFS infrastructure-layer scope
  • Coordinate with AI Solutions Engineer on Kubernetes-adjacent data-layer DLP policy configuration
  • Coordinate with Backend Engineer on Databricks write-back schema and DataCard write-back path
  • Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers.
  • Innodata will never ask for payment, banking details, or sensitive personal information during the application process.

Compensation

  • The expected hourly salary range for this position is $70 to $75 p/hour, based on experience, skills, and qualifications.

This listing is sourced directly from Innodata Inc.'s careers page and normalized into a canonical job model.