First VP, Senior Data Engineer, Group Technology & Ops
Core
Build enterprise-scale ingestion frameworks, Lakehouse data platforms, governed data products, and analytical data models to deliver trusted, reusable, and AI-ready data assets for banking operations.
Role type
Senior IC Data Engineer (Group Technology & Ops)
Builds
Enterprise data ingestion frameworks, Lakehouse platforms (Bronze/Silver/Gold layers), business-facing data products, and AI-ready data assets.
Domain
Banking / Financial Services / Data Engineering
Required skills
Apache Spark (PySpark), Java, Python, Advanced SQL, Data Modeling, Delta Lake/Lakehouse concepts, ETL/ELT and CDC, API integration, Kubernetes, Terraform, CI/CD, MLflow, observability tools, Hadoop ecosystem (Iceberg, Kafka, Flink), Cloud platforms, NLP/AI data architecture, agentic application development.
Preferred skills
Airflow, Data Products, full-stack application development, Cloudera Machine Learning (CML), performance tuning of distributed workloads.
Responsibilities
Design metadata-driven ingestion frameworks supporting batch, CDC, streaming, APIs, and files; Develop reusable Spark/Python components with orchestration, logging, and monitoring; Build Bronze, Silver, and Gold layers using Lakehouse principles; Design conceptual, logical, and physical data models; Create business-facing data products with metadata, lineage, and SLAs; Implement data quality controls and observability; Performance tune Spark jobs and distributed processing workloads; Support DevOps, CI/CD, and Infrastructure as Code practices; Collaborate with data scientists to operationalize machine learning models; Design scalable real-time systems using Hadoop ecosystem components; Develop full-stack applications and internal engineering tools.
Seniority
Senior, hands-on IC