Solution Architect
Innodata Inc.3 months ago
Responsibilities
- Own cross-pillar architectural integrity and interface coordination across the program.
- Design and stand up the DataCard governance framework, including schema design, distribution-statement methodology, and provenance lineage.
- Deploy and configure the ZenML multi-cloud orchestration stack.
- Design the taxonomy engine and sequestration controls architecture.
- Confirm the NIST SP 800-53 Rev 5 control split between the data-layer and infrastructure-layer scopes.
- Lead platform component run books and per-DataCard documentation.
- Coordinate DLP policy configuration, Databricks write-back schema, and the DataCard write-back path with engineering counterparts.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, or a related field, or equivalent experience that may substitute on a 2-for-1 basis; a master’s degree is preferred.
- 10+ years of total professional experience, including 6+ years in data architecture or platform engineering.
- Hands-on implementation experience with Databricks, Delta Lake, and MLflow.
- Experience with DataCards, provenance, lineage, distribution statement controls, and data governance frameworks.
- Experience with ZenML or equivalent orchestration tools such as Airflow or Prefect, with willingness to ramp up on ZenML.
- 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.
- Prior Innodata or annotation platform architecture experience, MLflow model governance and registry experience, ontology and taxonomy design experience, and DoD Directive 5230.24 implementation experience are preferred.
Benefits
- Expected hourly salary range is $70 to $75 per hour, based on experience, skills, and qualifications.
- The role is structured around an intensive 20-week phase within a 24-week program.
Tech Stack
Categories
Solutions Engineering
About Innodata Inc.
Innodata Inc. builds data engineering and annotation services and platforms that supply training data, evaluation, and pipelines for enterprises and technology companies building AI models, including generative and robotics applications. Its business model centers on B2B services, managed data operations, and tools for data collection, cleansing, and labeling across text, image, video, and sensor data. Founded in 1988 and headquartered in Ridgefield Park, New Jersey, it is a public company trading on NASDAQ (INOD).