Data Architecture Lead, Market Risk Technology
Overview
You will own the end-to-end data architecture for the bank's Market Risk platform, serving 200+ risk analysts and 50 trading desks. You will lead a team of 15 engineers and data architects, driving the design and delivery of scalable data pipelines. Your work directly impacts regulatory reporting and real-time risk decisioning. Unlike typical data roles, you will also partner with quantitative researchers to model complex risk metrics.
What You'll Do7
- 1Design the target-state data architecture for Market Risk, covering SQL, NoSQL, and streaming platforms.
- 2Lead the deployment of AWS-based data lakes and Kafka pipelines for real-time risk aggregation.
- 3Drive migration of legacy Oracle and Hadoop systems to modern cloud-native solutions.
- 4Build data governance frameworks with Collibra and Ataccama.
- 5Optimize Spark and Airflow workloads to cut processing time by 40%.
- 6Own the data model for Value-at-Risk and Stress Testing, ensuring traceability and audit readiness.
- 7Mentor engineers on data engineering best practices and pair programming.
Requirements8
- 110+ years in data engineering with 5+ years in financial services.
- 25+ years designing data architectures for AWS or GCP.
- 33+ years leading technical teams of 10+ engineers.
- 4Expert in SQL, Python, and Spark for data processing.
- 5Hands-on with Kafka and stream processing.
- 6Experience with Collibra for data cataloging and governance.
- 7Bachelor's in Computer Science or related field.
- 8Prior work on Market Risk or Credit Risk platforms is a plus.
Salary Insight
$200 - $240k per year
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