Senior Data Engineer, AI Agents & Lakehouse

Appnovation-Technologies; Dallas (TX); On-site; USD 130,000 - 180,000; Full time

Job summary

Appnovation is seeking a Senior Data Engineer, AI & Agents, to prepare enterprise domain data for AI consumption and partner with business stakeholders. You will build domain-grounded data agents over governed datasets on the enterprise data platform, focusing on governance, quality, and scalable access.

You will work with Databricks and Snowflake, orchestrate pipelines with dbt and Airflow, and contribute to lakehouse migrations, data cataloging, and open formats adoption.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
• 5+ years of professional experience in data engineering with experience across modern data warehousing and lakehouse platforms (Databricks and Snowflake preferred).
• Strong data engineering background with hands-on fluency across both Databricks and Snowflake.
• Experience building data agents or query interfaces over governed datasets (e.g., Snowflake Cortex or Genie).
• Advanced SQL together with Spark / PySpark, and experience with pipeline orchestration (dbt, Apache Airflow, or Databricks Workflows).
• Experience implementing data quality, observability, and lineage, and applying governance controls such as masking and row- and column-level security.
• Excellent stakeholder-facing skills, with a track record of translating business requirements into delivered data assets.

Responsibilities

• Build and register domain data agents at scale over governed tables across Databricks and Snowflake.
• Perform lakehouse migrations, including converting source tables to open formats (e.g., Apache Iceberg) to enable agent-based access.
• Generate and curate catalogue metadata that feeds downstream automation and data-contract workflows.
• Partner with business stakeholders and subject-matter experts through iterative build, test, and validation cycles.

Skills

Strong data engineering background

Stakeholder-facing skills

Python

SQL

Spark / PySpark

ETL / data pipelines

Education

Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field

Tools

Databricks

Snowflake

dbt

Airflow

Databricks Workflows

Apache Iceberg

Unity Catalogue

Horizon

Collibra

MCP

vector databases / embeddings

Python

YAML

Git & CI/CD

Job description

Appnovation is seeking a Senior Data Engineer, AI & Agents, to prepare enterprise domain data for AI consumption and partner with business stakeholders. You will build domain-grounded data agents over governed datasets on the enterprise data platform, focusing on governance, quality, and scalable access.

You will work with Databricks and Snowflake, orchestrate pipelines with dbt and Airflow, and contribute to lakehouse migrations, data cataloging, and open formats adoption.