Back to SearchSenior Data Software Engineer
Remote in Argentina, & 4 others
Data Software Engineering& 11 others
Looking for something else?
Find a vacancy that works for you. Send us your CV to receive a personalized offer.
Find me a job
Choose an option
We are looking for a Senior Data Software Engineer to design and deliver reusable data-sharing adapters across a cloud lakehouse and external analytics platforms, with a strong focus on governed access and reliable pipelines. You will collaborate with engineers to build modular integrations and demonstrate AI-assisted development in daily work.
Responsibilities
- Design a UniForm lakehouse write layer with dual-format metadata (Delta and Iceberg) for multi-consumer access
- Build and validate GCS-to-BigQuery ingestion pipeline patterns for structured operational datasets
- Implement CDC pipelines using Kafka to support real-time and near-real-time lakehouse updates
- Develop dependency-aware bookkeeping and data lineage tracking patterns across data pipelines
- Engineer modular, version-controlled adapter code that is reusable across new data source integrations
- Configure Snowflake external table definitions and enable governed access via Horizon catalog metadata
- Implement and certify Delta Sharing adapters for zero-copy data sharing to Databricks consumers
- Configure Delta Sharing endpoints, registrations, and sharing agreement management
- Validate end-to-end freshness, sharing latency, and SLA compliance for external data sharing flows
- Implement connector registry entries, RBAC, and tenant-scoped authorization for all data-out paths
- Add metering hooks aligned with billing requirements for governed external data flows
- Document integration patterns and operational steps for reuse across additional data products
Requirements
- 3+ years of experience in data software engineering with Python for data pipeline development
- Experience with Google Cloud BigQuery in advanced usage and optimization
- Experience with data lakehouse table formats including Apache Iceberg and Delta Lake
- Hands-on experience with Databricks integrations and governed data access patterns
- Hands-on experience with Snowflake and external table access for lakehouse data
- Strong knowledge of Kafka and CDC patterns for real-time and near-real-time ingestion
- Strong architecture skills in data lake design, modular adapter development, and version control practices
- Working proficiency with AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor
- Strong documentation skills for reusable integration patterns and operational runbooks
- Upper-Intermediate English (B2) proficiency for technical collaboration and written communication
Nice to have
- Apache Spark experience for validating shared reads and pipeline patterns
- Databricks Unity Catalog experience for governed metadata and access control
- Delta Lake expertise for sharing and interoperability patterns
- Gen AI Assisted Development experience with measurable workflow improvements
- Snowflake Horizon Catalog experience for metadata governance and access controls