Senior Data Engineer
Core
Design and build greenfield, cloud-native data platforms, real-time pipelines, and data products for enterprise clients using modern architectural patterns.
Role type
Senior IC Data Engineer (Platform & Architecture)
Builds
Cloud-native data platforms, real-time pipelines, and data products
Domain
Data Engineering, Cloud Infrastructure, AI/ML Systems
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, Spark, Data Mesh, Data Products, Data Contracts, Cloud Data Services, Streaming Technologies, Workflow Orchestration, Data Modeling, Infrastructure as Code, CI/CD, Data Testing
Preferred skills
Consulting experience, Technical Mentorship, Client Advisory
Technologies
Databricks, Snowflake, AWS, GCP, Kafka, Flink, Kinesis, Pub/Sub, Airflow, Dataflow, Glue, Postgres, BigQuery, Cassandra, MongoDB, Parquet, Delta, ORC, Avro, Terraform, Pulumi, GitHub Actions, ArgoCD, dbt, Great Expectations, Soda
Responsibilities
Own end-to-end architecture of modern data platforms; Design scalable data ecosystems using data mesh and data products; Build and optimize batch and real-time pipelines; Process and transform large datasets; Implement secure, compliant data solutions; Consult with clients to translate business needs into engineering decisions; Set engineering standards and mentor senior engineers
Seniority
Senior, hands-on IC with technical leadership
