{"id":4326677,"url":"https://alion.io/job/mizuho-financial-group-lead-data-engineer","title":"Lead Data Engineer","company":{"id":1828799,"name":"Mizuho Financial Group","domain":"mizuhogroup.com","url":"https://alion.io/company/mizuhogroup","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":22,"ghost_share":0,"stale_share":0.409,"repost_share":0,"time_to_fill_p50_days":43,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":112000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"ETL/ELT","optional":true},{"name":"GCP","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-13T00:00:00Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-15T01:33:30Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Join Mizuho as a Lead Data Engineer!\nWe 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.\nThe 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.\nKey Responsibilities\nDesign, develop, and maintain scalable data pipelines and ETL/ELT frameworks supporting enterprise data and analytics workloads.\nBuild and optimize data solutions using Snowflake, including data modeling, transformation, performance optimization, and workload management.\nDevelop reusable and production-grade data engineering components using Python.\nDesign and orchestrate complex workflows using Apache Airflow or similar orchestration platforms.\nDevelop and support cloud-based data solutions using Microsoft Azure or comparable cloud technologies.\nPartner with business, analytics, architecture, governance, and technology teams to translate requirements into scalable technical solutions.\nDefine technical designs, integration patterns, engineering standards, and best practices for enterprise data solutions.\nImplement appropriate data quality, monitoring, lineage, security, and operational controls across data pipelines.\nTroubleshoot production issues and drive improvements around performance, resiliency, scalability, and maintainability.\nConduct design and code reviews and provide technical guidance to data engineering teams.\nContribute to modernization of the data platform and adoption of modern engineering practices and technologies.\nWorking experience in an Agile environment\nRequired Qualifications\n7+ years of professional experience in data engineering, data platforms, or related technology roles.\nStrong hands-on expertise with Snowflake & Star Schema Architecture.\nAdvanced programming experience with Python & SQL.\nStrong experience with Apache Airflow or comparable workflow orchestration technologies.\nHands-on experience with Microsoft Azure or another major cloud platform such as AWS or GCP.\nStrong experience designing and developing ETL/ELT pipelines, data integration solutions, and enterprise data processing workflows.\nStrong knowledge of SQL, data modeling, data warehousing, and performance optimization.\nExperience designing solutions for scalability, reliability, maintainability, and production support.\nStrong problem-solving, communication, and stakeholder-management skills.\nAbility to operate effectively in a complex enterprise environment and work across engineering, architecture, governance, and business teams.\nPreferred Qualifications\nExperience with Databricks and Apache Spark.\nExperience with Azure Data Factory (ADF) and other Azure data services.\nKnowledge of data governance, metadata management, lineage, data quality, and access-control frameworks.\nExperience with enterprise data architecture and solution design.\nUnderstanding of modern architectural approaches such as lakehouse, medallion architecture, and cloud-native data platforms.\nExperience establishing engineering standards, reusable frameworks, and design patterns.\nFinancial services or other highly regulated industry experience is a plus.\nIdeal Candidate\nThe 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.\nThe 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.\nOther requirements\nIn 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.\nCompany Overview\nMizuho 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.\nMizuho Americas offers a competitive total rewards package.\nWe 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.\nAccommodations are available upon request for applicants with disabilities and other covered reasons in accordance with applicable law.\nWe participate in the E-Verify program.\nWe maintain a drug-free workplace and reserve the right to require pre- and post-hire drug testing, as permitted by applicable law.","description_format":"text","description_chars":6261,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-11-15T01:33:30Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":43,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-11-15T03:04:16Z"},"pay":{"stated_usd_annual":200000,"is_top_pay":true},"html_url":"https://alion.io/job/mizuho-financial-group-lead-data-engineer","json_url":"https://alion.io/job/mizuho-financial-group-lead-data-engineer.json","meta":{"generated_at":"2026-11-15T03:04:16Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":5742,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1828799},"rest":"https://alion.io/mcp/rest/get_company?id=1828799"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmizuho-financial-group-lead-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmizuho-financial-group-lead-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmizuho-financial-group-lead-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/mizuho-financial-group-lead-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmizuho-financial-group-lead-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4326677}},{"tool":"search_jobs","arguments":{"company":"mizuhogroup.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4326677},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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