Data Architecture & Engineering — Market Risk Technology

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

Join Mizuho as a Data Architecture & Engineering — Market Risk Technology. As the leader of data architecture and engineering for our Market Risk technology platform, you will oversee the end-to-end design, deployment, and operations of critical data solutions supporting VaR, FRTB, sensitivities, stress testing, limits, and regulatory reporting.

Responsibilities

• Data Architecture: Oversee the platform’s data architecture, including transactional and analytical stores, lakehouse implementation, semantic layers, and reporting models. Establish scalable standards that apply across teams rather than bespoke designs for individual projects.
• Engineering Frameworks & Patterns: Develop and enforce reusable libraries and frameworks for data ingestion, quality, reconciliation, lineage, orchestration, error handling, and recovery. Ensure these are built once and adopted broadly across the organization.
• Migration Leadership: Lead the SSIS-to-Databricks migration program, including sequencing, parallel‑run reconciliation, cutover, decommissioning, and operational handover at each step.
• Risk Data Models: Design canonical and semantically clear data models for trades, positions, sensitivities, P&L, market data, VaR, stress, limits, capital, and regulatory reporting. Ensure models are fit for the consumers who rely on them.
• Performance & Scale: Optimize SQL and Spark workloads, partitioning, storage design, and query performance to meet stringent EOD SLAs.
• Data Observability: Integrate quality assurance, SLA tracking, pipeline health, reconciliation, anomaly detection, and lineage as core platform capabilities, not afterthoughts.
• Full Lifecycle Ownership: Guide the platform from design through deployment and ongoing operations. While production support handles daily operations, you own the engineering discipline that underpins their success.
• Stakeholder Partnership: Collaborate closely with risk managers, quants, application owners, engineers, support teams, infrastructure, and governance to ensure alignment and platform excellence.

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, market data, VaR, stress, FRTB, capital, and regulatory reporting, with depth to model the domain.
• Proven experience designing and operating modern data platforms including lakehouse, distributed compute, semantic layers, and hybrid on‑prem/cloud environments.
• Production experience with Databricks, Spark, and Delta Lake, plus working knowledge of SQL Server and SSIS to credibly lead migration.
• Expertise in data modeling for operational, dimensional, semantic, and canonical models.
• Demonstrated leadership of large ETL modernization initiatives, including sequencing, parallel‑run, cutover, and decommissioning.
• Track record of building reusable engineering frameworks adopted across teams.
• Experience in performance tuning at scale for SQL Server, Databricks, Spark, storage formats, and query optimization.
• Architectural leadership: setting direction, reviewing designs, challenging weak patterns, and mentoring engineers and architects.
• Strong communication skills, capable of defending architectural decisions to senior technology, risk, and business leaders.

Compensation & Benefits

• Base salary range: $150k–$240k, based on experience and qualifications.
• Discretionary bonus potential.
• Comprehensive employee benefits package.

Working Arrangements

Mizuho has a hybrid working program. Remote work opportunities depend on the department and local regulations.

EEO Statement

We are an EEO/AA Employer - M/F/Disability/Veteran. We participate in the E‑Verify program. We maintain a drug‑free workplace and reserve the right to require pre‑ and post‑hire drug testing as permitted by applicable law.