Solution Architect

Innodata (Nasdaq: INOD) is a global data engineering company focusing on responsible AI through data and evaluation frameworks. Mission: enable trustworthy AI by providing data, evaluation frameworks, and human expertise needed for scalable AI systems. About the Program Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we deliver a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20‑week phase, you will help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write‑back capabilities. About the Role As a Solution Architect you will design the backbone of the platform, define the architecture for the data services storefront, and own the DataCard governance framework that keeps our data trustworthy, documented, and compliant end‑to‑end. Working closely with the engineering team and the Delivery Owner, you will translate governance and security requirements in a secure federal (IL4) environment into a clean, defensible technical design. This role is for an architect who cares equally about data stewardship and governance as about elegant systems. Key Responsibilities Own cross‑pillar architectural integrity and AFS‑Innodata 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 Must‑Have Qualifications Bachelor’s degree in Computer Science, Data Engineering, or related field required; Master’s degree preferred. Equivalent experience may substitute on a 2‑for‑1 basis. 10+ years total professional experience, 6+ years in data architecture or platform engineering Hands‑on implementation experience with Databricks, Delta Lake, and MLflow Experience with data governance frameworks: DataCards, provenance, lineage, distribution‑statement controls Experience with ZenML or equivalent ML orchestration tooling (Airflow or Prefect acceptable; 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 Nice‑to‑Have Qualifications Prior Innodata or annotation platform architecture experience Hands‑on experience with MLflow model governance and registry Ontology and taxonomy design for AI/ML training datasets The expected hourly salary range for this position is $70 to $75 per hour, based on experience, skills, and qualifications. Note to Candidates This role is the primary technical decision‑maker on the program below the Delivery Owner. The Solution Architect is expected to make architectural calls independently within the established framework and surface only unresolved cross‑cutting decisions to the Delivery Owner. Equal Employment Opportunity As set forth in Innodata Inc.’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr Innodata Inc.