AI Data Engineer & Analytics Architect

The Opportunity

Help clients create the data foundation needed for analytics and AI. You'll design reliable pipelines, accessible data products, and modern architectures that make trusted information available to teams and AI applications.

What You'll Do

• Assess existing data environments, data quality, governance, and integration needs.
• Design and build data pipelines, models, warehouses/lakehouses, and semantic layers.
• Prepare structured and unstructured data for analytics, search, and AI use cases.
• Implement data quality checks, lineage, documentation, and monitoring.
• Partner with business teams to define metrics, reporting requirements, and reusable data products.
• Support data migration, platform modernization, and AI-readiness initiatives.

What You Bring

• 4+ years in data engineering, analytics engineering, data architecture, or business intelligence.
• Strong SQL and Python skills.
• Experience with cloud data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Fabric.
• Familiarity with ETL/ELT, orchestration, APIs, data modeling, and BI tools.
• Understanding of data governance, privacy, and access controls.
• Experience preparing enterprise knowledge and data for AI applications is highly valued.