Remote AI Data Enablement Engineer

Description:

• Design, build, and operate trusted datasets, semantic models, and embedded AI experiences for Finance.
• Focus on engineering the data foundation for reliable AI, including semantic layers and governed data products.

Requirements:

• 5+ years of hands-on data engineering experience on cloud data platforms, specifically Databricks.
• Direct experience with Databricks Genie, including building and tuning in production.
• Proven delivery of semantic layers and trusted data products with KPI definitions and business glossary alignment.
• Proficiency in dbt, PySpark, SQL, and Python.
• Experience with orchestration tools like Airflow or Databricks Workflows.
• Knowledge of data governance in regulated environments, including RBAC and auditability.
• Ability to integrate structured and unstructured data into AI workflows.

Benefits:

• Opportunity to work in a cutting-edge AI-enablement project within a regulated environment.
• Collaborate with Finance business stakeholders to create impactful data solutions.