First VP, Senior Data Engineer, Group Technology & Ops
Core
Design and build enterprise-scale ingestion frameworks, Lakehouse data platforms, and governed data products to support AI-ready data assets and analytics.
Role type
Senior IC Data Engineer (Banking/Financial Services)
Builds
Bronze/Silver/Gold data layers, real-time streaming systems, and business-facing data products
Domain
Banking / Financial Services / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Apache Spark (PySpark), Java, Python, Advanced SQL, Data Modeling, Delta Lake/Lakehouse concepts, ETL/ELT, CDC, API integration
Preferred skills
Airflow, Kubernetes, Terraform, Data Products, MLflow, Cloudera Machine Learning
Technologies
Hive, Impala, Kafka, Iceberg, Ranger, Atlas, Nifi, Flink, Ozone, Trino, React, Flask, Hadoop ecosystem
Responsibilities
Design metadata-driven ingestion frameworks for batch, CDC, and streaming; Develop reusable Spark/Python components with orchestration and monitoring; Build Bronze, Silver, and Gold layers using Lakehouse principles; Design conceptual, logical, and physical data models; Implement data quality controls and observability; Performance tune Spark jobs and distributed processing workloads; Collaborate with data scientists to operationalize machine learning models
Seniority
Senior, hands-on IC