{"id":1167416,"url":"https://alion.io/job/state-street-data-platform-engineering-senior-principal-vp","title":"Data Platform Engineering-Senior Principal, VP","company":{"id":1806,"name":"State Street","domain":"statestreet.com","url":"https://alion.io/company/state-street","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":135,"ghost_share":0,"stale_share":0.148,"repost_share":0.022,"time_to_fill_p50_days":21,"computed_at":"2026-09-24T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hangzhou, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":66000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":98},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLMOps","optional":false},{"name":"Master Data Management","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-24T04:05:18Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T17:33:38Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nState Street Investment Management’s Data, Analytics & AI Services (DAAIS) team is seeking a Senior Data Platform and Agentic Engineering Principal (Vice President) for our Hangzhou office. This role is responsible for the architecture, engineering delivery, and operational excellence of a modern data platform and its agentic AI capabilities that enable the investment management business. The successful candidate will bring deep hands-on expertise in data platform architecture, agentic workflow design, data AI agent implementation, agentic protocol integration (e.g., A2A, MCP), and containerized services, along with proven leadership experience within financial services.\nKey Responsibilities\nLead an agile data and agentic engineering team to deliver scalable solutions that address evolving business and client needs.\nPartner with global teams to execute cross-border initiatives and continuously strengthen engineering standards and best practices.\nCoach and mentor engineers, fostering a culture of continuous learning, accountability, and high performance.\nDefine and own the platform’s agentic architecture and implementation, including agentic workflows; agentification of platform components; data sourcing and distribution agents; and governance, registration, security, observability, and monitoring of AI agents.\nDesign and lead the implementation of core data platform capabilities, including ingestion and consumption patterns; workload balancing; master data management; catalog synchronization; and OLTP/OLAP integration.\nRequired Qualifications\nMaster’s degree in Computer Science or a related engineering discipline.\n15+ years of technology experience within the financial services industry, including senior-level engineering leadership.\nHands-on experience designing and implementing multi-agent workflows, including human-in-the-loop command center patterns and/or semi-autonomous agentic workflows.\nHands-on experience designing and implementing modern, open-architecture data platforms supporting OLAP, OLTP, and near real-time workloads.\nExtensive experience architecting and implementing enterprise LLMOps and agentic infrastructure pipelines, including networking, storage, security, FinOps, and capacity planning, with cloud-agnostic approaches across major public cloud providers (e.g., AWS, GCP, Azure).\nStrong proficiency with modern data platforms (e.g., Snowflake, Databricks) and programming languages (e.g., Python, SQL); familiarity with AI-assisted development tools (e.g., Anthropic Code, GitHub Copilot, Codex).\n4+ years of experience working with unstructured data sources (e.g., sales notes, 13F filings, news, social media).\nExcellent written and verbal communication skills, with the ability to influence and align stakeholders across geographies.\nDemonstrated ability to deliver results with strong attention to detail, sound judgment, and a direct, constructive approach.\nPreferred Qualifications\nPrior experience serving as a data platform architect within a financial institution.\nExperience implementing patterns and tooling for both structured and unstructured data management.\nCFA Level II completion (or equivalent certification).\nAbout State Street\nAcross the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.\nWe are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.\nAs an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.\nDiscover more information on jobs at StateStreet.com/careers\nRead our CEO Statement","description_format":"text","description_chars":4398,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Wealth Management","Capital Markets","Custody & Fund Administration"],"lifecycle":[{"event":"open","at":"2026-09-24T04:05:18Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":21,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-09-24T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/state-street-data-platform-engineering-senior-principal-vp","json_url":"https://alion.io/job/state-street-data-platform-engineering-senior-principal-vp.json","meta":{"generated_at":"2026-09-24T21:49:37Z","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":"subnet","units_charged":1,"used_today":112,"day_limit":5000,"remaining_today":4888,"minute_limit":60,"resets_at":"2026-09-25T00:00:00Z"}}}