Senior Data Engineer
Core
Design, develop, and support cloud-native data products and platform capabilities for enterprise data sharing, analytics, AI/ML, and data commercialization.
Role type
Senior IC data engineer (cloud-native data platform)
Builds
Secure, scalable, governed, and reusable data products and platform services
Domain
Financial services / Cloud data engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, Spark/PySpark, Databricks, Snowflake, Apache Iceberg, Delta Lake, AWS/Azure, batch and streaming pipeline development, orchestration (Airflow), CI/CD, Infrastructure as Code, data governance, security controls, data quality, metadata, lineage
Preferred skills
Kafka, event-driven architectures, Data Contracts, Data Mesh, AI/ML workloads, Terraform, enterprise security (IAM, encryption, privacy), financial services domain experience
Technologies
Databricks, Snowflake, Apache Iceberg, Delta Lake, AWS, Azure, Airflow, Kafka, Terraform
Responsibilities
Design and develop large-scale data engineering and platform engineering solutions; Build and operate scalable batch and streaming data pipelines; Develop reusable frameworks, accelerators, and platform services; Implement data governance, security, observability, and operational controls; Support platform modernization, automation, and engineering excellence; Collaborate with cross-functional teams to deliver enterprise data solutions
Seniority
Senior, hands-on IC
