{"id":1272088,"url":"https://alion.io/job/mizuho-financial-group-cloud-data-engineer","title":"Cloud 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":"B","score":75,"open_postings":13,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":160000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-07-08T00:00:00Z","employer_posted_date":"2026-07-08","last_verified_at":"2026-09-29T01:52:25Z","board_verified":true,"closed_at":null,"days_open":83,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":83},"description":"Join Mizuho as a Cloud Data Engineer!\nRole Overview\nIn 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.\nKey Responsibilities\nLead and oversee Core Group enablement initiatives across data product domain teams, ensuring alignment with enterprise cloud data standards and delivery expectations.\nCoordinate with domain teams to support team onboarding, platform adoption, and implementation readiness for enterprise data engineering solutions. \nDrive platform setup and operating model alignment, ensuring teams are equipped with the required environments, standards, and engineering practices.\nLead rollout and adoption of data engineering frameworks, reusable components, and delivery standards across multiple teams. \nAlign closely with cloud data warehouse strategy and implementation, ensuring standardized and scalable data integration, transformation, and consumption patterns.\nDrive 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.\nPromote engineering best practices across teams, including code quality, testing, governance, auditability, and scalable development patterns. \nPartner with stakeholders, architects, and delivery teams to ensure successful adoption of cloud data platforms, enterprise frameworks, and curated data solutions. \nGuide strategic decisions related to platform evolution, framework improvements, and scalable onboarding models for domain teams. \nSupport a culture of continuous improvement, reusable architecture, and operational excellence across the Core Group ecosystem. \nRequired Qualifications\nAt least 12+ years of experience in data engineering, cloud data platforms, Data warehouse or enterprise data architecture. \nProven experience leading enterprise platform enablement, onboarding programs, or cross-team cloud data initiatives. \nStrong expertise in Python, PySpark, SQL, Databricks, Snowflake, and cloud-based data architectures.\nExperience building or governing scalable data frameworks, curated data layers, and enterprise engineering standards. \nStrong stakeholder management and ability to coordinate across multiple business and technology teams. \nExperience with data governance, quality controls, and regulatory or enterprise compliance expectations. \nCore Competencies\nCore Group Leadership & Enablement \nPlatform Onboarding & Adoption\nCloud Data Architecture & Engineering Standards \nCross-Functional Coordination & Stakeholder Management \nData Quality, Compliance & Scalable Execution \nPreferred Qualifications\nExperience in large-scale cloud data transformation or platform modernization initiatives. \nExperience in financial services, banking, or regulated data environments. \nBachelor’s or Master’s degree in Computer Science, Engineering, or related field.\nThe 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.\nOther requirements\nMizuho 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.\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 EEO/AA Employer - M/F/Disability/Veteran.\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":5139,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-26T00:35:42Z"}],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.394,"p_room":0.28,"age_days":82,"expected_fill_days":27,"reasons":["conf:10","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-09-28T05:45:00Z"},"pay":{"stated_usd_annual":200000,"is_top_pay":false},"html_url":"https://alion.io/job/mizuho-financial-group-cloud-data-engineer","json_url":"https://alion.io/job/mizuho-financial-group-cloud-data-engineer.json","meta":{"generated_at":"2026-09-29T04:56:24Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4796,"day_limit":5000,"remaining_today":204,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}