Senior Data Platform Engineer
Core
Design, build, and operate a scalable, secure, and governed data platform supporting security, audit, operational, and analytics workloads.
Role type
Senior Data Platform Engineer
Builds
Scalable data platforms, batch and streaming pipelines, curated datasets for security, compliance, and business insights
Domain
Financial services / Data Engineering & Platform Architecture
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data architecture design, batch and streaming pipeline development, data modeling (relational/analytical/event-based), data quality controls, data governance, SQL, Python, CI/CD practices, infrastructure automation (Terraform)
Preferred skills
Kafka/streaming technologies, SIEM/observability stacks (Splunk, Elasticsearch), modern data lakehouse technologies (Iceberg, Delta Lake, Hudi, Trino, Spark), data cataloging, analytics tool integration (Superset, Power BI, Tableau)
Technologies
Python, SQL, Kafka, Splunk, Elasticsearch, Logstash, Kibana, Datadog, Apache Iceberg, Delta Lake, Apache Hudi, Trino, Spark, Parquet, Terraform, Apache Superset, Power BI, Tableau, Metabase
Responsibilities
Design scalable data platform architectures; build and maintain reliable data ingestion frameworks; implement data transformation and aggregation processes; define data quality controls and governance policies; integrate data from diverse internal and external platforms; develop data engineering services and automation tooling
Seniority
Senior, hands-on IC
