Role Overview
In this role, you will be responsible for overseeing coordination across data product domain teams and helping them establish delivery excellence through structured onboarding, platform setup, framework adoption, and engineering enablement. The ideal candidate will serve as a strategic bridge between the Core Group and domain teams to drive consistency, scalability, governance, and effective execution across the data platform ecosystem.
Key Responsibilities
- Lead and oversee Core Group enablement initiatives across data product domain teams, ensuring alignment with enterprise cloud data standards and delivery expectations.
- Coordinate with domain teams to support team onboarding, platform adoption, and implementation readiness for enterprise data engineering solutions.
- Drive platform setup and operating model alignment, ensuring teams are equipped with the required environments, standards, and engineering practices.
- Lead rollout and adoption of data engineering frameworks, reusable components, and delivery standards across multiple teams.
- Align closely with cloud data warehouse strategy and implementation, ensuring standardized and scalable data integration, transformation, and consumption patterns.
- Drive producer and consumer alignment by coordinating across upstream (data producers) and downstream (data consumers) teams to ensure consistent data availability, usability, and quality within the data warehouse ecosystem.
- Promote engineering best practices across teams, including code quality, testing, governance, auditability, and scalable development patterns.
- Partner with stakeholders, architects, and delivery teams to ensure successful adoption of cloud data platforms, enterprise frameworks, and curated data solutions.
- Guide strategic decisions related to platform evolution, framework improvements, and scalable onboarding models for domain teams.
- Support a culture of continuous improvement, reusable architecture, and operational excellence across the Core Group ecosystem.
Required Qualifications
- At least 12+ years of experience in data engineering, cloud data platforms, Data warehouse or enterprise data architecture.
- Proven experience leading enterprise platform enablement, onboarding programs, or cross-team cloud data initiatives.
- Strong expertise in Python, PySpark, SQL, Databricks, Snowflake, and cloud-based data architectures.
- Experience building or governing scalable data frameworks, curated data layers, and enterprise engineering standards.
- Strong stakeholder management and ability to coordinate across multiple business and technology teams.
- Experience with data governance, quality controls, and regulatory or enterprise compliance expectations.
Core Competencies
- Core Group Leadership & Enablement
- Platform Onboarding & Adoption
- Cloud Data Architecture & Engineering Standards
- Cross-Functional Coordination & Stakeholder Management
- Data Quality, Compliance & Scalable Execution
Preferred Qualifications
- Experience in large-scale cloud data transformation or platform modernization initiatives.
- Experience in financial services, banking, or regulated data environments.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
The expected base salary ranges from $160k-$200k. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus.
#LI-Hybrid
Other requirements
Mizuho has in place a hybrid working program, with varying opportunities for remote work depending on the nature of the role, needs of your department, as well as local laws and regulatory obligations. Roles in some of our departments have greater in-office requirements that will be communicated to you as part of the recruitment process.
