{"id":1711778,"url":"https://alion.io/job/blackrock-senior-data-architectdata-engineer-aladdin-engineering-vice-president","title":"Senior Data Architect/Data Engineer, Aladdin Engineering - Vice President","company":{"id":5262,"name":"BlackRock","domain":"blackrock.com","url":"https://alion.io/company/blackrock","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":97,"open_postings":6,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"head","employment_type":"full_time","work_mode":"hybrid","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":162000,"max":215000,"currency":"USD","period":"year","gross":null,"usd_annual":215000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ElasticSearch","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"MS SQL","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Dagster","optional":true},{"name":"dbt","optional":true},{"name":"GCP","optional":true},{"name":"Prefect","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-14T00:00:00Z","employer_posted_date":"2026-08-14","last_verified_at":"2026-10-18T16:37:16Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":67},"description":"About this role\nAbout this Role:At BlackRock, technology is the foundation of our business. As a Data Engineer, you’ll build resilient systems that power our global post-trade operations. You’ll design and deliver enterprise-scale software with a focus on reliability, performance, and clean engineering practices.This role is ideal for engineers who like to innovate and solve complex challenges while fostering a culture of excellence and continuous improvement.\nAbout Post Trade Accounting (PTA):\nA major strategic area within Aladdin and one of BlackRock’s largest engineering investments.\nResponsible for the systems that ensure accurate, scalable, and efficient accounting across global operations.\nExpanding into data analytics and pipeline initiatives using Snowflake, Redis, and distributed event streaming and messaging platforms to manage high-volume, real-time data.\nCollaborates closely with Product, Operations, and other Engineering teams to deliver business-critical capabilities.\nAgile and collaborative environment that values technical depth, quality, and innovation.\nKey Responsibilities:\nPartner with domain experts, product, and engineering teams to design canonical data models (conceptual → logical → physical) that power trusted reporting, analytics, and downstream integrations.\nBuild and evolve analytics-ready datasets in Snowflake (curated layers / data marts), including clear metric definitions (grain, dimensions, measures) that enable consistent enterprise reporting.\nDesign and develop reliable ELT/ETL pipelines across Snowflake and SQL Server to support both scheduled batch loads and low-latency ingestion where needed.\nImplement robust pipeline patterns such as incremental processing, idempotency (replay-safe loads), deduplication, and backfill/reprocessing strategies.\nEstablish and enforce data quality and observability practices (freshness, completeness, accuracy checks; alerting; runbooks; SLAs) to keep data products production-grade.\nOptimize analytical performance and cost by applying Snowflake best practices (clustering/partition strategies, materializations, query optimization) and SQL Server performance tuning where appropriate.\nPublish curated data to downstream systems and serving layers when needed (e.g., search indices like Elasticsearch and operational stores like Cosmos DB) with clear contracts and monitoring.\nDrive best practices for documentation, lineage, schema evolution, and secure handling of sensitive data (PII) in collaboration with platform and governance partners.\nQualifications / Competencies:\nB.S./M.S. in Computer Science, Engineering, or related discipline (or equivalent practical experience).\n8+ years of experience building production data systems, with demonstrated ownership of data modeling and data pipeline engineering.\nStrong SQL skills (advanced querying, query plans, performance tuning) with hands-on experience in Snowflake and/or Microsoft SQL Server.\nProven experience with data modeling for analytics (dimensional modeling / star schemas, conformed dimensions, slowly changing dimensions) and translating business concepts into robust schemas.\nHands-on experience designing and implementing ELT/ETL pipelines, including batch and near-real-time patterns.\nProficiency in at least one general-purpose language used for data engineering (e.g., Python, Java, or Scala) for automation, orchestration, and integrations.\nWorking knowledge of modern data engineering practices: testing for transformations, CI/CD, environment promotion, and operational monitoring.\nStrong communication skills and comfort collaborating with domain experts to turn ambiguity into clear, implementable data products.\nNice to Have:\nExperience with transformation and modeling frameworks (e.g., dbt) and/or a semantic/metrics layer approach.\nExposure to orchestration tools (e.g., Directed acyclic graph-based workflow orchestration framework for data and batch processing, Dagster, Prefect) and patterns for dependency management and backfills.\nStreaming and event-driven data experience (e.g., distributed event streaming and messaging platforms, CDC patterns) and understanding of late-arriving data, watermarking, and replay.\nExperience integrating downstream serving/search systems (e.g., Elasticsearch) and operational datastores (e.g., Cosmos DB).\nFamiliarity with data governance and observability tooling (catalog/lineage, OpenLineage-style concepts, data quality frameworks).\nCloud-native exposure (Open Container Initiative (OCI) container image packaging and runtime/Enterprise-grade container orchestration platform supporting declarative infrastructure and horizontal scaling, AWS/Azure/GCP) and infrastructure-as-code (Terraform).\nInterest in financial systems, accounting, or investment technology.\nFor New York, NY Only the salary range for this position is USD$162,000.00 - USD$215,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.\n\nOur benefits\nTo help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.\nOur hybrid work model\nBlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.\n\nGuidance on AI use for candidates\nAt BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.\nAbout BlackRock\nAt BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.\nThis mission would not be possible without our smartest investment - the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.\nTo learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.\nBlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression),sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View theEEOC’s Know Your Rights poster and its supplementand thepay transparency statement.\nBlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustmentsare needed throughout the employment process, please email . All requests are treated in line with our privacy policy .\nBlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.","description_format":"text","description_chars":8927,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible time off","Hybrid work","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Asset Management & Funds"],"lifecycle":[{"event":"open","at":"2026-10-02T17:31:09Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 22 · green card filings: 4","filings_12m":22,"filings_prev_12m":19,"green_card_filings_12m":4,"median_offered_wage_usd":146731,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.371,"p_room":0.28,"age_days":67,"expected_fill_days":12,"reasons":["conf:37","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-20T05:45:00Z"},"pay":{"stated_usd_annual":215000,"is_top_pay":true},"html_url":"https://alion.io/job/blackrock-senior-data-architectdata-engineer-aladdin-engineering-vice-president","json_url":"https://alion.io/job/blackrock-senior-data-architectdata-engineer-aladdin-engineering-vice-president.json","meta":{"generated_at":"2026-10-20T13:24:29Z","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":14860,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":5262},"rest":"https://alion.io/mcp/rest/get_company?id=5262"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fblackrock-senior-data-architectdata-engineer-aladdin-engineering-vice-president"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fblackrock-senior-data-architectdata-engineer-aladdin-engineering-vice-president"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fblackrock-senior-data-architectdata-engineer-aladdin-engineering-vice-president"},{"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/blackrock-senior-data-architectdata-engineer-aladdin-engineering-vice-president\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fblackrock-senior-data-architectdata-engineer-aladdin-engineering-vice-president"}]}