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About the Role

Prepare enterprise domain data for consumption by AI agents, partnering directly with business stakeholders and subject-matter experts. Build and register domain-grounded data agents over governed datasets, perform lakehouse migrations, and onboard new data domains onto the enterprise data platform. Operate across Databricks and Snowflake, converting source tables to open formats and generating catalogue metadata that powers downstream automation and data-contract workflows, while ensuring high data quality, governed access, and reliable agent-based access to trusted data.

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.

Requirements

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 significant hands-on experience across modern data warehousing and lakehouse platforms (Databricks and Snowflake preferred).
Strong data engineering background with genuine, hands-on fluency across both Databricks and Snowflake.
Demonstrated 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.

Skills

Databricks
Snowflake
Cortex
Genie
AWS
S3
SQL
PySpark
dbt
Apache Airflow
Databricks Workflows
Unity Catalogue
Horizon
Collibra
MCP
vector databases
embeddings
Python
YAML data contracts
Apache Iceberg
Git
CI/CD

Location

Hybrid

Work Type

Hybrid

Experience Level

Senior
5+ years

Education Level

Bachelor’s degree
Master’s degree

Benefits

Challenging and rewarding work with real impact
Direct Access to Cutting-Edge AI Platforms
Diverse and Inclusive Culture
Growth opportunities for personal and professional development
A collaborative and innovative work environment where your ideas are valued
Exposure to exciting projects and high-profile clients
Supportive work environment with access to company leaders

About the Company

Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services.
We build digital solutions that deliver real impact today and serve as foundations for future growth.
Bold ambition. Practical action. Endless possibilities.

Equal Opportunity

At Appnovation, we recognize that diverse teams are the strongest teams. Diversity, Equity & Inclusion is not only something that we embrace - we celebrate it!
We are proud to be an Equal Opportunity Employer and we encourage applicants from all backgrounds, lived experiences and industries to apply.
Come join us at Appnovation, and learn more about how we stay true to our company values as we build better lives through better digital.
Accommodations are available upon request throughout the recruitment process.