Senior Data Engineer, AI Agents & Lakehouse

Appnovation; Miami (FL); Hybride; USD 140 000 - 190 000; Plein temps

Avantages offerts par ce poste

Challenging work with real impact

Direct access to cutting‑edge AI tools

Diverse and inclusive culture

Growth opportunities

Résumé du poste

Appnovation is seeking a Senior Data Engineer, AI & Agents, to prepare enterprise domain data for AI agents. You will build domain data agents over governed datasets and manage lakehouse migrations across Databricks and Snowflake, ensuring data quality and governed access.

You will generate catalogue metadata and collaborate with stakeholders through iterative build, test, and validation cycles to deliver reliable, agent‑based data assets for business use cases.

Qualifications

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

Responsabilités

• 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.

Connaissances

Databricks

Snowflake

SQL

PySpark

dbt

Airflow

Databricks Workflows

Python

Data governance

Data quality

Stakeholder management

Formation

Bachelor’s or Master’s in Computer Science or related field

Outils

Unity Catalogue

Horizon

Collibra

Description du poste

Appnovation is seeking a Senior Data Engineer, AI & Agents, to prepare enterprise domain data for AI agents. You will build domain data agents over governed datasets and manage lakehouse migrations across Databricks and Snowflake, ensuring data quality and governed access.

You will generate catalogue metadata and collaborate with stakeholders through iterative build, test, and validation cycles to deliver reliable, agent‑based data assets for business use cases.