Cloud Data Engineer

About the Role Join Mizuho as a Cloud Data Engineer to oversee coordination across data product domain teams and drive delivery excellence through onboarding, platform setup, and framework adoption. You will act as a strategic bridge between the Core Group and domain teams to ensure consistency, scalability, governance, and effective execution across the data platform ecosystem.

What You'll Do

• 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 onboarding, platform adoption, and implementation readiness for enterprise data engineering solutions.
• Drive platform setup and operating model alignment, ensuring teams have the required environments, standards, and engineering practices.
• Lead rollout and adoption of data engineering frameworks, reusable components, and delivery standards across multiple teams.
• Align 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 to ensure data availability, usability, 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.

What We're Looking For

• 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 in leadership, platform onboarding and adoption, cloud data architecture and engineering standards, cross-functional coordination, and data quality and compliance.

Nice to Have

• 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.

Compensation & Benefits

• The 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, generous employee benefits package and discretionary bonus.