Director, Data Platform Engineering
Core
Define and execute the strategy, architecture, and engineering roadmap for the Global Transaction Banking Data Platform built on Databricks to enable advanced analytics, AI-driven insights, and mission-critical transaction banking capabilities.
Role type
Director, Data Platform Engineering
Builds
Secure, scalable, and resilient data solutions, data products, APIs, streaming services, and cloud-native applications for Global Transaction Banking.
Domain
Financial Services / Data Engineering / Distributed Systems
Deliverable
production ML models | product features | infrastructure
Required skills
Enterprise-scale data platform design, Databricks architecture and optimization, Apache Spark, Delta Lake, distributed systems, cloud-native architectures, DevSecOps, CI/CD, Kubernetes, event-driven architectures, Generative AI/LLMs, budget management, vendor management, people leadership.
Preferred skills
Streaming technologies (Kafka, Confluent, Solace, Apache Flink), graph or document data models (Neo4J, MongoDB), observability tooling (Splunk, Dynatrace, Datadog), OpenShift.
Technologies
Databricks, Apache Spark, Delta Lake, Java, Python, REST, GraphQL, Microsoft Azure, Kubernetes, Kafka, Confluent, Solace, Apache Flink, Neo4J, MongoDB, Splunk, Dynatrace, Datadog, OpenShift.
Responsibilities
Define and execute the strategic roadmap for the GTB Data Platform; lead the evolution of the Databricks platform; drive platform modernization and engineering transformation; establish engineering and data architecture standards; lead multiple engineering teams responsible for data platforms and cloud-native applications; oversee end-to-end delivery of strategic technology initiatives; champion modern data architecture practices including data products and real-time processing; manage platform investment planning and budget; lead, coach, and develop engineering managers and senior technical talent.
Seniority
Director, strategic leadership with hands-on technical oversight
