remote
Enterprise Data Architect - AI Readiness & Data Transformation - Eliassen Group
Software Engineer
Lead a 6‑12 month enterprise data transformation, driving AI readiness, data quality, governance, and modernization across the organization. Shape architecture, data models, and cloud strategies to enable enterprise‑wide analytics and AI initiatives.
About the role
Key Responsibilities
- Design and implement a scalable data architecture that supports AI workloads and enterprise analytics.
- Define and enforce data governance policies, ensuring data quality, lineage, and compliance across all data domains.
- Lead data modernization initiatives, migrating legacy systems to cloud data lakes and warehouses.
- Collaborate with data scientists, engineers, and business stakeholders to translate AI requirements into robust data solutions.
- Develop and maintain data models, metadata catalogs, and documentation for enterprise data assets.
Requirements
- 5+ years of experience in data architecture, data modeling, and enterprise data integration.
- Proven track record in AI readiness projects, including data preparation and feature engineering pipelines.
- Strong knowledge of cloud platforms (AWS, Azure, or GCP) and modern data lake/warehouse technologies.
- Experience with data governance frameworks, data quality tools, and metadata management.
Skills
software developmentsystem designproblem solving