Director, Data Engineering
Core
Leads the design, development, and deployment of scalable and secure data pipelines, platforms, and ML/AI infrastructure to support advanced analytics and AI initiatives.
Role type
Director, Data Engineering (Strategy & Leadership)
Builds
Scalable data pipelines, ML/AI infrastructure, and enterprise data platforms
Domain
Financial services / Payments / Big Data
Deliverable
production ML models | infrastructure
Required skills
Data architecture, ETL/ELT pipelines, data warehousing, real-time data processing, cloud platforms (AWS/GCP/Azure), big data technologies (Spark/Kafka/Hadoop), data modeling, data governance, data quality frameworks, ML infrastructure design, team leadership, technical roadmap definition, incident response, KPI definition
Preferred skills
Financial services domain experience, mentoring talent, open-source data engineering tools, large-scale open-source project contributions, TensorFlow/Ray/JAX/PyTorch/Horovod experience
Technologies
AWS, GCP, Azure, Spark, Kafka, Hadoop, TensorFlow, Ray, JAX, PyTorch, Horovod
Responsibilities
Lead incident response and root cause analysis for data platform issues; Partner with senior leadership to define and execute enterprise data strategy; Mentor and coach a high-performing team of data engineers; Define, monitor, and report on KPIs to measure data engineering success.
Seniority
Director, strategic leadership with hands-on technical oversight
