Head of Data Platform Engineering, MD
Core
Lead the design, build, and operation of a modern, fully cloud-native data platform supporting enterprise-wide analytics, data science, and AI initiatives.
Role type
Senior IC engineering leader (Head of Data Platform Engineering)
Builds
Cloud-native data platform (data lakehouse, real-time streaming, metadata catalog, observability framework, security layers)
Domain
Financial technology / Data infrastructure
Deliverable
production ML models | infrastructure
Required skills
Large-scale data systems architecture, distributed computing, cloud-native platform leadership, DevOps/DataOps practices, team building and scaling, executive communication
Preferred skills
AI/ML enablement (feature stores, model registries), modern governance frameworks, AWS/Azure/GCP platform architecture
Technologies
Snowflake, Databricks, BigQuery, Kafka, Airflow, dbt, Delta Lake, Iceberg, Terraform, CloudFormation, Kubernetes, Spark, Flink, Presto, Synapse, Data Factory, ADLS Gen2, Glue, S3, EMR, Redshift, Dataflow, Pub/Sub
Responsibilities
Define long-term vision and architecture for unified data platform; Lead engineering teams building core platform components; Drive technology selection and adoption; Establish foundations for high-quality data engineering (CI/CD, IaC, testing, monitoring); Partner with Product, Analytics, and ML teams on data contracts and governance; Build and mentor multi-disciplinary engineering organization; Represent data platform strategy to executive leadership
Seniority
Senior, hands-on IC with strategic leadership