Staff Data Engineer
Core
Design and govern scalable, secure data platforms powering enterprise analytics, real-time data, and AI use cases for a major bank.
Role type
Staff Data Engineer (Technical Leadership & Architecture)
Builds
Scalable data pipelines, data products, and AI/GenAI engineering applications.
Domain
Banking / Big Data & Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
End-to-end data engineering, Big Data platforms (Spark, Flink, Kafka), AWS cloud architecture, Python/PySpark, Scala, Oracle SQL/PL-SQL, Teradata, Cloudera Hadoop, Data Observability, Vector Databases, Dimensional modeling, AI/GenAI framework integration.
Preferred skills
AI/GenAI application development, LangChain, Llama, Hugging Face, Cloud Data Engineering certification.
Technologies
Apache Spark, Apache Flink, Kafka, AWS, Python, PySpark, Scala, Oracle SQL, Teradata, Cloudera Hadoop, Tableau, OBIEE, SAS, LangChain, Llama, Hugging Face, Vector Databases.
Responsibilities
Translate business objectives into data-centric solutions; lead definition and execution of data engineering/ETL strategies; design reliable, secure, scalable data pipelines and platforms; design technical solutions for complex business requirements; partner with cross-functional teams to improve service scalability; provide technical leadership and mentorship across teams; drive engineering maturity via automation and tooling; take ownership of technical assets and roadmaps.
Seniority
Staff, deep technical leadership & mentorship
