Senior Data Architect & Engineer – Market Risk Tech

Mizuho Financial Group Inc.; New York (NY); Hybrid; USD 150,000 - 240,000; Full time

Benefits offered by this job

Base salary range

Discretionary bonus

Comprehensive benefits

Job summary

Mizuho Financial Group Inc. is seeking a Data Architecture & Engineering leader for its Market Risk Technology platform in New York.

You will own end-to-end data architecture, delivery, and operations to support VaR, FRTB, sensitivities, stress testing, and regulatory reporting. You will design scalable data models, oversee lakehouse and semantic layers, and drive reusable engineering frameworks across teams, with a focus on performance and observability.

Qualifications

• 15+ years in data architecture, engineering, or platform roles within financial services.
• Hands-on expertise in Market Risk data domains including trades, positions, sensitivities, P&L, VaR, stress, regulatory reporting.

Responsibilities

• Oversee the platform’s data architecture for transactional and analytical stores, lakehouse, and reporting models.
• Develop reusable libraries and frameworks for data ingestion, quality, lineage, orchestration, and error handling.
• Lead the SSIS-to-Databricks migration program with sequencing and cutover.
• Design canonical data models for trades, positions, P&L, market data, VaR, and regulatory reporting.
• Optimize SQL and Spark workloads and ensure EOD SLA performance.
• Implement data observability and pipeline health/tracking as core platform capabilities.
• Own the engineering discipline from design through deployment and ongoing ops.
• Collaborate with risk managers, quants, app owners, engineers, and governance for alignment.

Skills

Data architecture

Data engineering

Platform leadership

Risk data domain

Stakeholder collaboration

Leadership

Tools

Databricks

Spark

Delta Lake

SQL Server

SSIS

Job description

Mizuho Financial Group Inc. is seeking a Data Architecture & Engineering leader for its Market Risk Technology platform in New York.

You will own end-to-end data architecture, delivery, and operations to support VaR, FRTB, sensitivities, stress testing, and regulatory reporting. You will design scalable data models, oversee lakehouse and semantic layers, and drive reusable engineering frameworks across teams, with a focus on performance and observability.