Lead Data Engineer
At a glance
Senior Data Engineering role at Mizuho. New York · full-time · $112,000–$200,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain enterprise pipelines and ETL/ELT frameworks for data and analytics workloads
- Use Snowflake for data models, transformations, workload management and performance tuning
- Write reusable Python components and orchestrate complex workflows with Airflow or similar tools
- Turn stakeholder requirements into technical designs, standards and scalable cloud data solutions
- Add quality, monitoring, lineage and security controls, while resolving production issues and guiding engineers
What you bring
- At least seven years in data engineering, data platforms or a related technology role
- Hands-on Snowflake experience, including star schema design, plus advanced Python and SQL skills
- Experience building ETL/ELT pipelines and enterprise data workflows, and optimizing models and warehouses
- Experience with Airflow or comparable orchestration tools and Azure or another major cloud platform
Who this fits
This senior hands-on role suits an engineer who can own complex data work from design through production and provide technical direction to peers. You’ll collaborate across business, engineering, architecture and governance teams. Office attendance is required at least half the time, or five of every ten business days.
From the employer
Join Mizuho as a Lead Data Engineer!
We are seeking an experienced Lead Data Engineer with 7+ years of experience designing, building, and delivering scalable enterprise data solutions. The ideal candidate will be a strong hands-on engineer with deep expertise in Snowflake, Python, and Airflow, along with experience working in Azure or a comparable cloud platform.
The role will be responsible for developing robust data pipelines and data platforms while contributing to technical architecture, engineering standards, performance, data quality, and production reliability. Experience with modern data platforms such as Databricks and Spark, as well as data governance and enterprise architecture principles, is highly desirable.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT frameworks supporting enterprise data and analytics workloads.
- Build and optimize data solutions using Snowflake, including data modeling, transformation, performance optimization, and workload management.
- Develop reusable and production-grade data engineering components using Python.
- Design and orchestrate complex workflows using Apache Airflow or similar orchestration platforms.
- Develop and support cloud-based data solutions using Microsoft Azure or comparable cloud technologies.
- Partner with business, analytics, architecture, governance, and technology teams to translate requirements into scalable technical solutions.
- Define technical designs, integration patterns, engineering standards, and best practices for enterprise data solutions.
- Implement appropriate data quality, monitoring, lineage, security, and operational controls across data pipelines.
- Troubleshoot production issues and drive improvements around performance, resiliency, scalability, and maintainability.
- Conduct design and code reviews and provide technical guidance to data engineering teams.
- Contribute to modernization of the data platform and adoption of modern engineering practices and technologies.
- Working experience in an Agile environment
Required Qualifications
- 7+ years of professional experience in data engineering, data platforms, or related technology roles.
- Strong hands-on expertise with Snowflake & Star Schema Architecture.
- Advanced programming experience with Python & SQL.
- Strong experience with Apache Airflow or comparable workflow orchestration technologies.
- Hands-on experience with Microsoft Azure or another major cloud platform such as AWS or GCP.
- Strong experience designing and developing ETL/ELT pipelines, data integration solutions, and enterprise data processing workflows.
- Strong knowledge of SQL, data modeling, data warehousing, and performance optimization.
- Experience designing solutions for scalability, reliability, maintainability, and production support.
- Strong problem-solving, communication, and stakeholder-management skills.
- Ability to operate effectively in a complex enterprise environment and work across engineering, architecture, governance, and business teams.
Preferred Qualifications
- Experience with Databricks and Apache Spark.
- Experience with Azure Data Factory (ADF) and other Azure data services.
- Knowledge of data governance, metadata management, lineage, data quality, and access-control frameworks.
- Experience with enterprise data architecture and solution design.
- Understanding of modern architectural approaches such as lakehouse, medallion architecture, and cloud-native data platforms.
- Experience establishing engineering standards, reusable frameworks, and design patterns.
- Financial services or other highly regulated industry experience is a plus.
Ideal Candidate
The successful candidate combines strong hands-on data engineering capabilities with technical leadership. They should be comfortable moving between architecture and design discussions, hands-on engineering, technical problem-solving, and collaboration with business and technology stakeholders. The role is well suited for someone who can take ownership of complex data solutions from design through production while helping raise overall engineering standards across the team.
The expected base salary ranges from $112,000-$200,000. 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, including Medical, Dental and 401K plans, successful candidates are also eligible to receive a discretionary bonus.
Other requirements
In office attendance is an essential function of this role. There is currently a requirement to be in the office a minimum 50% of the time, or five out of every 10 business days. Specific information about the requirements for your role will be communicated during 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 equal employment opportunity employer, and we comply with applicable laws prohibiting discrimination in all of the jurisdictions where we operate. AA Employer - M/F/Disability/Veteran.
Accommodations are available upon request for applicants with disabilities and other covered reasons in accordance with applicable law.
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.
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