Senior Data Engineer, AI & Agents

Appnovation
New York, Austin, Miami, Dallas
Workplace: OnsiteContractFunction: Data Science & Machine LearningSkills: ["Stakeholder-facing skills","Translating requirements","Collaboration","Data quality focus","Governance-minded"]

Build and govern domain-grounded data agents over trusted enterprise datasets across Databricks and Snowflake. Perform lakehouse migrations by converting source data to open formats (e.g., Apache Iceberg), generate catalogue metadata for automation and data-contract workflows, and partner with stakeholders to iteratively test and validate agent access. Ensure high data quality, lineage, observability, and governed security controls so business users can reliably query data through AI agents.

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FursaFursa
Appnovation
Appnovation
3 days ago

Senior Data Engineer, AI & Agents

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 55 minutes agoStatus: Live

Job Summary

Build and govern domain-grounded data agents over trusted enterprise datasets across Databricks and Snowflake. Perform lakehouse migrations by converting source data to open formats (e.g., Apache Iceberg), generate catalogue metadata for automation and data-contract workflows, and partner with stakeholders to iteratively test and validate agent access. Ensure high data quality, lineage, observability, and governed security controls so business users can reliably query data through AI agents.
Location: New York, Austin, Miami, Dallas
Workplace: Onsite
Employment Type: Contract
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and register domain data agents at scale over governed tables across Databricks and Snowflake.
  • •Perform lakehouse migrations, 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.
  • •Ensure high data quality, governed access, lineage, and observability with security controls for trusted agent-based access.

Key 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 hands-on modern data warehousing and lakehouse platforms (Databricks and Snowflake).
  • •Strong hands-on fluency across both Databricks and Snowflake.
  • •Advanced SQL plus Spark/PySpark experience, and pipeline orchestration experience (dbt, Apache Airflow, or Databricks Workflows).
  • •Experience implementing data quality, observability, lineage, and governance controls such as masking and row- and column-level security.
Experience:Data engineeringData warehousingLakehouseAI agentsGoverned datasetsRegulated domains
Education:
Skills:Stakeholder-facing skillsTranslating requirementsCollaborationData quality focusGovernance-minded
Languages:English
Tech Stack:DatabricksSnowflakeSnowflake CortexGenieApache IcebergSQLSparkPySparkDbtApache AirflowDatabricks WorkflowsUnity CatalogueHorizonCollibraMCPVector databasesEmbeddingsAWSS3Python

Company Brief

Appnovation
Provides digital transformation, design, and engineering services, helping enterprises build customer experiences, digital platforms, and integrations using open-source and cloud technologies across industries.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Bootstrapped
Headquarters: Vancouver, Canada
Founded: 2007
WebsiteLinkedIn