Solution Architect

Jobtailor; Washington (WA, District of Columbia); On-site; USD 180,000 - 260,000; Full time

Job summary

Jobtailor seeks a senior data architecture professional to lead cross-pillar integration and governance across a 24-week program. You will design DataCard governance, schema, provenance, and distribution controls, while deploying ZenML multi-cloud orchestration per the latest architecture guidelines.

Responsibilities include leading run books, coordinating with AI and Backend teams on DLP, write-back schemas, and ensuring alignment with NIST SP 800-53 Rev 5 and DoD classification requirements.

Qualifications

• Bachelor's degree required; Master's preferred; 2-for-1 substitution allowed
• 10+ years total professional experience; 6+ years in data architecture or platform engineering
• Hands-on Databricks, Delta Lake, MLflow experience
• Data governance: DataCards, provenance, lineage, distribution statement controls
• ZenML or equivalent ML orchestration tooling; willing to ramp ZenML quickly
• Familiarity with IL4/IL5, NIST SP 800-53 Rev 5, and DoD data classification
• Active Secret clearance with TS/SCI eligibility

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
• 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
• Lead platform component run books and per-DataCard documentation in Phase E
• 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

Skills

High-level data governance

Platform engineering

Cross-team coordination

Security clearance readiness

Education

Bachelor's degree in CS/Data Eng

Master's degree preferred

Tools

Databricks

Delta Lake

MLflow

ZenML

Airflow/Prefect

Job description

• 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
• 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
• Lead platform component run books and per-DataCard documentation in Phase E
• 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

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.
• 10+ years total professional experience, 6+ years in data architecture or platform engineering
• Databricks, Delta Lake, and MLflow — hands‑on implementation experience, not conceptual
• Data governance frameworks: DataCards, provenance, lineage, distribution statement controls
• ZenML or equivalent ML orchestration tooling (Airflow or Prefect acceptable; 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
• Active Secret clearance with TS/SCI eligibility.