Director, Market Risk Technology Platform (Architecture & Engineering)

Job Description

A global banking and capital-markets organization is seeking a Director of Data Architecture and Engineering to lead the evolution of a critical Market Risk data platform. The platform supports risk measurement, stress testing, sensitivities, limits, capital calculations, and regulatory reporting used by Risk, Finance, quantitative, and trading stakeholders.

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This leader will define the future-state architecture, guide the transition from legacy relational and ETL technologies to a modern lakehouse platform, and establish engineering standards that can be reused across teams. The position combines strategic architecture, technical leadership, migration execution, data modeling, performance engineering, and operational accountability.

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Responsibilities:

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• Define the target architecture for a large-scale Market Risk data platform.
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• Lead the modernization of legacy SQL Server and SSIS workloads using Databricks, Spark, and Delta Lake.
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• Design clear, scalable data models for trading, positions, sensitivities, P&L, market data, risk calculations, limits, and capital.
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• Establish shared frameworks for data ingestion, validation, reconciliation, orchestration, lineage, and recovery.
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• Plan and govern migration sequencing, parallel processing, cutover, and legacy-system retirement.
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• Improve distributed processing, storage, partitioning, SQL, and Spark performance.
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• Embed data quality, pipeline health, observability, and SLA monitoring into the platform.
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• Review technical designs and mentor data architects and engineers.
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• Partner with Risk, Finance, Front Office, quantitative, governance, infrastructure, and support teams.
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Role Requirements:

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• 15 or more years of experience in data architecture, data engineering, or data-platform leadership.
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• Significant experience within financial services.
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• Direct knowledge of Market Risk or trading-system data.
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• Production experience with Databricks, Spark, and Delta Lake.
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• Strong experience with Microsoft SQL Server and SSIS.
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• Experience modernizing a large legacy ETL or data-processing estate.
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• Expertise in canonical, semantic, dimensional, operational, and analytical data modeling.
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• Experience supporting hybrid cloud and on-premises infrastructure.
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• Demonstrated success building reusable engineering frameworks.
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• Strong SQL and distributed-processing performance-tuning skills.
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• Ability to communicate architectural decisions to senior business and technology leaders.
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• Bachelor’s degree.
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Nice to Have:

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• Experience with VaR, stress testing, FRTB, limits, capital, or regulatory reporting.
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• Experience implementing data observability and automated lineage.
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• Experience leading parallel-run reconciliation and production cutovers.
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• Leadership experience within a global banking or capital-markets organization.
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• Experience managing architecture standards across multiple engineering teams.
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