Solution Architect

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. #J-18808-Ljbffr