Data Engineers — Databricks, Azure & AWS
Modern data programs need engineers who can build, not just diagram. We source senior data engineers, lakehouse architects, and ML platform specialists with production experience on Databricks, Azure Data, AWS, Snowflake, and dbt.
What you get
Databricks & Lakehouse
Delta Lake, Unity Catalog, Workflows, DLT pipelines, and Databricks SQL warehouses.
Azure Data Platform
ADF, Synapse, Fabric, Purview, and Microsoft Fabric medallion architectures.
AWS Data Stack
Glue, EMR, Redshift, Lake Formation, Athena, MSK, and Step Functions orchestration.
Snowflake & dbt
Snowflake admin, RBAC, cost governance, and dbt modeling for analytics engineering teams.
Streaming & Real-Time
Kafka, Kinesis, Flink, and Structured Streaming for low-latency analytics and CDC pipelines.
ML & MLOps
MLflow, Feature Store, model registry, and end-to-end MLOps on Databricks, SageMaker, and Azure ML.
Stack we staff
- Databricks
- Delta Lake
- Unity Catalog
- Azure Data Factory
- Synapse
- Microsoft Fabric
- AWS Glue
- Redshift
- Snowflake
- dbt
- Kafka
- Airflow
- Spark
- Python
- SQL
Frequently asked
Can you staff certified Databricks engineers?
Yes — most of our senior data engineers hold Databricks Data Engineer Professional and / or Solution Architect certifications.
Do you cover both batch and streaming workloads?
Yes, including Kafka, Kinesis, Flink, Structured Streaming, and CDC patterns with Debezium or Fivetran.
Can you provide a full data platform team?
We deliver pods that include platform engineers, analytics engineers, data architects, and product owners.
Related specializations
Looking for this talent? Let's talk.
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