Senior Data Platforms Engineer (Databricks, GCP, AWS)
Core
Design and build cloud-native data platforms, real-time pipelines, and data products for enterprise clients using modern architectural patterns like data mesh.
Role type
Senior hands-on IC data platforms engineer
Builds
Cloud-native data platforms, real-time pipelines, and data products
Domain
Enterprise data engineering, cloud infrastructure, and data architecture
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, Apache Spark, Databricks, Snowflake, AWS, GCP, Kafka, Flink, Airflow, Terraform, dbt, data modeling
Preferred skills
Scala, Java, Go, Rust, Neo4j, Cassandra, consulting experience
Technologies
Databricks, Snowflake, AWS, GCP, Kafka, Flink, Kinesis, Pub/Sub, Airflow, Dataflow, Glue, Spark, Postgres, BigQuery, Cassandra, MongoDB, Terraform, Pulumi, GitHub Actions, ArgoCD, dbt, Great Expectations, Soda
Responsibilities
Design and deliver cloud-native data platforms; build and optimize batch and real-time pipelines; process and transform large datasets; implement secure and compliant data solutions; consult with clients to translate business needs into engineering decisions
Seniority
Senior, hands-on IC
