Senior Lead Data Engineer (AWS, Python, Snowflake, Databricks, AI-Assisted Coding Tools)
Core
Design, develop, test, implement, and support full-stack technical solutions and lead a team of developers to build data-driven tools using machine learning for risk management.
Role type
Senior Lead Data Engineer (Risk Tech)
Builds
Proprietary cloud-based solutions for risk management powered by AI and machine learning
Domain
Financial services / Risk technology / Cloud data engineering
Deliverable
production ML models | product features
Required skills
Full-stack development, Machine learning, Distributed microservices, Cloud data warehousing, Big data technologies, Cloud computing, Team leadership, Code review and performance tuning
Preferred skills
Interactive AI tooling, Real-time data streaming, NoSQL implementation, UNIX/Linux shell scripting, Agile engineering practices
Technologies
AWS, Python, Snowflake, Databricks, Java, Scala, Redshift, Kafka, Spark, Hadoop, Hive, EMR, Gurobi, MySQL, MongoDB, Cassandra
Responsibilities
Collaborate with Agile teams to design and deploy technical solutions, Lead a team of developers with deep experience in ML and distributed systems, Utilize programming languages and cloud data warehousing services, Mentor other members of the engineering community, Deliver robust cloud-based solutions for digital product managers, Perform unit tests and conduct code reviews
Seniority
Senior, hands-on IC with leadership responsibilities