Senior Data Engineer, AI & Agents — Lakehouse & Governance

Appnovation Technologies; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Challenging work

Cutting-edge AI platforms access

Inclusive culture

Growth opportunities

Collaborative environment

High-profile clients

Job summary

Appnovation in the United States seeks a Senior Data Engineer, AI & Agents to prepare enterprise domain data for AI agents and govern lakehouse platforms. You will build domain data agents, migrate lakehouses, and onboard new data domains onto the enterprise data platform.

The ideal candidate has 5+ years in data engineering, deep SQL and PySpark, and hands-on experience with Databricks and Snowflake, plus strong stakeholder-facing skills to translate business needs into trusted data assets.

Qualifications

• Bachelor’s or Master’s degree in CS/IS/Engineering or related field.
• 5+ years of professional data engineering experience with data warehousing and lakehouse platforms.
• Fluency with Databricks and Snowflake for governance and data agents.
• Strong SQL, Spark/PySpark, and orchestration tools (dbt, Airflow, or Databricks Workflows).
• Experience with data quality, observability, and governance controls.

Responsibilities

• Build and register domain data agents over governed tables across Databricks and Snowflake.
• Perform lakehouse migrations and convert source tables to open formats (e.g., Apache Iceberg).
• Generate and curate catalogue metadata for automation and data-contract workflows.
• Partner with business stakeholders through iterative build, test, and validation cycles.

Skills

Databricks

Snowflake

SQL

PySpark

dbt

Airflow

Python

Data governance

Education

Bachelor’s or Master’s degree in CS/IS/Engineering

Tools

Unity Catalogue

Horizon

Collibra

Apache Iceberg

Git

CI/CD

Python

Job description

Appnovation in the United States seeks a Senior Data Engineer, AI & Agents to prepare enterprise domain data for AI agents and govern lakehouse platforms. You will build domain data agents, migrate lakehouses, and onboard new data domains onto the enterprise data platform.

The ideal candidate has 5+ years in data engineering, deep SQL and PySpark, and hands-on experience with Databricks and Snowflake, plus strong stakeholder-facing skills to translate business needs into trusted data assets.