Cloudary SAS · Posted 2mo ago
Data Platform Engineer (102-08SENG-01)
- Location
- 🇧🇷 -, Brazil
- Contract
- Contract
- Role
- Platform & databases
- Source
- Employer’s own job board (Recruitee)
Stack
- Databricks
- Azure Synapse
- Athena
- dbt
- Airflow
- Azure Data Factory
- Step Functions
- Kafka
- Spark
- Delta Lake
- Unity Catalog
- S3
- ADLS
- Great Expectations
- SQL
- Python
- AWS
- Azure
- Terraform
The posting
This role converts a large Azure Data Factory estate into Databricks workflows on AWS. The scope for year one: 2,094 ADF pipelines to migrate — built as reusable templates rather than one-by-one — 9,859 pipeline activities to translate (some map directly, others need rewriting as Lambda or Step Functions), 471 Spark dataflows to move onto Databricks on AWS, and 4 Databricks workspaces (Dev, QA, Pre-prod, Prod) to rehost, including notebook paths and Unity Catalog rewiring. This is a regulated environment, so reconciling migrated data against source systems is part of the definition of done, not an afterthought. What you will do
• Convert Azure Data Factory pipelines into Databricks workflows on AWS, building reusable templates rather than migrating one at a time.
• Rehost Databricks workspaces onto AWS and migrate ADLS Gen2 storage to S3.
• Rewrite ADF Web Activities as Lambda functions or Step Functions tasks, and replace ADF-specific scaling with native Databricks mechanisms.
• Build and tune PySpark transformations for production data volumes.
• Replace Azure Synapse Serverless with Databricks SQL Warehouse.
• Reconcile migrated data against source systems as part of the definition of done.
Required
• Production experience with Databricks: workspaces, jobs and workflows. The central skill for this role.
• Strong Spark and PySpark experience for real data volumes, including tuning.
• Production-grade Python.
• Experience building or migrating Azure Data Factory pipelines, with a solid understanding of the ADF activity model.
• AWS data services: S3, Glue, Athena, Lambda and Step Functions.
• Advanced SQL, including reading and reasoning about stored procedures.
• Professional written and spoken English.
Nice to have
Delta Lake, Unity Catalog, Azure Synapse, Terraform, Airflow/MWAA, dbt, Kafka, Databricks certification, data modeling, Great Expectations, SAS/analytics platform integration, CRM data.
Engagement details
• Estimated start date: December 2026
• Duration of project: 9 months
• EST Time Zone
• Open to candidates from all LATAM