GP Strategies Corporation · 8 hours ago
Data Foundations & Lineage Engineer
United States
Contract
Remote
Mid Level
4+ years expGP Strategies Corporation is seeking a Data Foundations & Lineage Engineer to build and maintain the core data ecosystem for Learning Data Intelligence. The role involves ensuring dataset quality, discoverability, and documentation while collaborating with various teams to support analytics and AI use cases.
Enterprise SoftwareOutsourcingSkill AssessmentTraining
Hiring Manager
Louis A Joseph
Responsibilities
Perform deep, brute‑force exploration of all Learning Lake schemas and tables to understand their meaning, business purpose, and dependencies
Build a comprehensive documentation repository describing dataset definitions, column‑level semantics, business logic, refresh cadences, source systems, and downstream consumption patterns
Translate implicit, tribal‑knowledge data flows into explicit, searchable documentation consistent with guidance
Develop end‑to‑end lineage for Learning datasets, mapping sources, transformations, pipelines, and consumption (Power BI, semantic models, AI agents, etc.)
Identify and eliminate manual or undocumented data feeds, aligning with the Manual Dependency Elimination initiative
Work closely with the DRI team as subject‑matter partners; escalate questions and validate assumptions
Partner with analytics, engineering, content, and program teams to ensure data design supports downstream reporting, modelling, and AI use cases
Build the foundational metadata that powers data discovery, semantic models, and self‑service analytics
Produce guides, readme files, and onboarding materials for all teams relying on Learning Lake
Qualification
Required
4+ years of experience in data engineering, data analysis, data governance, or related fields
Expert SQL and data‑profiling skills, with the ability to reverse‑engineer undocumented or ambiguous datasets. Hands‑on experience with Azure Data Lake, Microsoft Fabric, Databricks, or Synapse in production environments
Familiarity with metadata systems, data cataloguing, lineage tooling, and orchestration best practices
Demonstrated ability to operate effectively in ambiguous, poorly documented, and fast‑changing data environments
Preferred
Experience working across large‑scale data ecosystems with shifting taxonomies and inconsistent data quality, combined with strong foundations in data modeling, documentation systems, data product ownership, or semantic model design
Proven ability to partner with engineering teams on data governance, lineage, metadata standards, and quality frameworks to improve reliability and trust
Exposure to Learning or HR data domains (e.g., HCM, HRDP, Finance, Skills/Learning datasets), including familiarity with soft‑skilling, competency models, or employee capability frameworks
Experience or working knowledge of data architecture concepts (lakehouse, domain‑driven design, data contracts, schema governance)
A strategic thinker who can link data foundations to business impact and AI‑driven outcomes, with strong prioritization and cross‑functional influence
Company
GP Strategies Corporation
GP Strategies, a Learning Technologies Group Company, is one of the world’s leading talent transformation providers.
1001-5000 employees
H1B Sponsorship
GP Strategies Corporation has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2023 (3)
2022 (2)
2020 (8)
Funding
Current Stage
Public CompanyTotal Funding
unknown2021-07-15Acquired
1978-01-13IPO
Leadership Team
Bill Maggio
Co-CEO
Jean-François Vézina
Chief Executive Officer
Recent News
Brandon Hall Group
2025-12-05
Research and Markets
2025-08-13
2025-07-09
Company data provided by crunchbase