Staff Data Engineer (Big Data, AWS and Snowflake)
Core
Lead the design and delivery of modern data solutions supporting Home Buying, combining hands-on engineering with technical leadership.
Role type
Staff Data Engineer (Big Data, AWS, Snowflake)
Builds
Scalable data pipelines, data products, and modernized data estate on AWS and Snowflake
Domain
Banking / Big Data Engineering
Deliverable
production ML models | product features
Required skills
Enterprise data pipeline design, complex SQL, Python/PySpark/Scala/Java, AWS data services (S3, EMR/Spark, Airflow, Iceberg, Glue), Big Data technologies (Spark, Hadoop, Hive, Iceberg, Kafka), Snowflake production experience, dbt, architecture review, technical mentorship, AI Engineering frameworks (LangChain, LangGraph, etc.)
Preferred skills
GenAI integration for productivity, cross-team coordination, engineering standards strategy
Technologies
AWS (S3, EMR, Spark, Airflow, Iceberg, Glue), Snowflake, dbt, Python, PySpark, Scala, Java, Kafka, Hadoop, Hive
Responsibilities
Design, build, test, and deploy scalable data solutions; Lead engineering initiatives and coordinate delivery across teams; Review solution designs and provide architectural guidance; Contribute to technical governance and engineering standards; Mentor engineers and lead multi-team initiatives; Partner with stakeholders to deliver meaningful data outcomes; Contribute to recruitment and GenAI adoption strategies
Seniority
Staff, hands-on IC with technical leadership