Data Engineer – Iceberg Migration Remote

Overview

We are looking for a Data Engineer / Data Architect to drive the migration of Snowflake datasets to Databricks Unity Catalog-managed Iceberg tables. The role is focused on ensuring a smooth transition, maintaining cross-platform data accessibility, and supporting advanced analytics and AI-driven workloads.

Key Responsibilities

Lead and execute the migration of Snowflake tables to Databricks Unity Catalog (Iceberg format) Assess existing Snowflake data models, pipelines, and dependencies Establish dual-access capabilities (Snowflake external access and Databricks) Identify and convert queries to Spark SQL-compatible syntax Work closely with data platform and datahub teams to ensure seamless onboarding Perform data validation, reconciliation, and consistency checks post-migration Enhance and optimize data pipelines and query performance in Databricks Ensure adherence to data governance, access control, and Unity Catalog best practices Troubleshoot and resolve migration-related issues efficiently Develop and contribute to automation frameworks and reusable migration components Required Skills Strong expertise in Snowflake and Databricks (Spark, Unity Catalog) Hands-on experience with Apache Iceberg, Delta Lake, or other open table formats Proficiency in SQL and Spark SQL Experience in data migration, ETL/ELT processes, and data modeling Familiarity with AWS (S3, IAM, networking) or equivalent cloud environments Solid understanding of data governance and access management Ability to troubleshoot and optimize performance across distributed systems

Preferred Qualifications

Experience with cross-platform data sharing (Snowflake + Databricks) Knowledge of REST catalog integration and Iceberg external tables Exposure to AI/BI workloads and analytics ecosystems Understanding of enterprise data platforms and data mesh architecture