Cloud Data Engineer
Reads like a Data Leadership role: running a data team.
MetroPark
- Pay
$160,000–200,000/year · BaseAnnual period assumed — pay source
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
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingIn 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.
Lead Core Group enablement across data product domain teams
Coordinate domain team onboarding and platform adoption
Drive platform setup and operating model alignment
Lead rollout of data engineering frameworks and delivery standards
Align upstream producers and downstream consumers on data quality
From the employer’s posting
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.
Lead and oversee Core Group enablement initiatives across data product domain teams
Coordinate with domain teams to support team onboarding, platform adoption, and implementation readiness
Drive platform setup and operating model alignment
Lead rollout and adoption of data engineering frameworks, reusable components, and delivery standards across multiple teams
Drive producer and consumer alignment by coordinating across upstream (data producers) and downstream (data consumers) teams
What you’ll bring
All qualificationsCore experience
- 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.
- Experience with data governance, quality controls, and regulatory or enterprise compliance expectations.
Preferred experience
- 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.
Qualification wording
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.
Experience with data governance, quality controls, and regulatory or enterprise compliance expectations.
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.
Education & alternatives
- 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.
Tools in this posting
- Python
- SQL
- Databricks
- Snowflake
- PySpark
Source — Tool mentions in context
- 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.
Posting record
Report an errorOpen 3 monthsWe first saw this listing 108 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 9, 2026 · 108 days ago
- Recorded sightings
- 140
- Last seen by us
- Oct 26, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on mizuho.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
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.
Company Overview
Mizuho Financial Group, Inc. is the 15th largest bank in the world as measured by total assets of ~$2 trillion. Mizuho's 60,000 employees worldwide offer comprehensive financial services to clients in 35 countries and 800 offices throughout the Americas, EMEA and Asia. Mizuho Americas is a leading provider of corporate and investment banking services to clients in the US, Canada, and Latin America. Through its acquisition of Greenhill, Mizuho provides M&A, restructuring and private capital advisory capabilities across Americas, Europe and Asia. Mizuho Americas employs approximately 3,500 professionals, and its capabilities span corporate and investment banking, capital markets, equity and fixed income sales & trading, derivatives, FX, custody and research. Visit www.mizuhoamericas.com.
Mizuho Americas offers a competitive total rewards package.
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.
#LI-MIZUHO
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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
- Location & working pattern
MetroPark
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. Company Overview
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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