Lead Data Software Engineer

We are building a governed lakehouse platform with UniForm, dual-format pipelines, and zero-copy sharing across Snowflake and Databricks. As aLead Data Software Engineer, you will define reusable integration patterns for BigQuery, Kafka/CDC, and catalogs while applying AI-assisted development tools across delivery.

Responsibilities

• Design and deliver a lakehouse UniForm write layer using dual-format metadata (Delta + Iceberg) that all target consumers can read without conversion
• Define and validate GCS-to-BigQuery ingestion pipeline patterns for structured operational domains including sales, delivery, schedule, and performance data
• Implement CDC patterns with Kafka to enable real-time and near-real-time data movement into the lakehouse
• Develop dependency-aware bookkeeping approaches and data lineage tracking patterns for consistent use across all data pipelines
• Ensure adapter code is modular, version-controlled, and built for reuse across new data source integrations
• Configure Iceberg external table definitions inside Snowflake's Horizon catalog
• Validate zero-copy read access from Snowflake to managed Iceberg / Delta tables without any data movement
• Implement and test tenant-scoped access controls aligned with Snowflake Horizon catalog metadata governance
• Implement and certify a Delta Sharing adapter that enables live, zero-copy sharing from Delta Lake tables to Databricks consumers
• Configure Delta Sharing endpoint registration and manage sharing agreement workflows
• Register Snowflake and Databricks as named connector types within the connector registry
• Implement RBAC, tenant-scoped authorization, and metering hooks that align with the billing framework for governed data-out flows

Requirements

• Proven experience of 5+ years in data engineering or software engineering focused on large-scale data platforms
• Deep expertise with GCP BigQuery, Apache Iceberg, and Delta Lake
• Hands-on proficiency in Python and Spark to develop and support data pipelines
• Solid understanding of data lake architecture, Iceberg UniForm, and Delta Sharing
• Working knowledge of Kafka/CDC patterns for real-time data movement
• Background integrating Snowflake Horizon catalog with Databricks Unity Catalog
• Active, practical experience with AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor
• Capability to demonstrate effective AI tooling usage during a technical screening
• English proficiency at B2 level or higher