{"id":1507111,"url":"https://alion.io/job/state-street-data-analytics-snowflake-technical-engineering-lead-avp","title":"Data Analytics - Snowflake Technical Engineering Lead, AVP","company":{"id":1806,"name":"State Street","domain":"statestreet.com","url":"https://alion.io/company/state-street","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":98,"open_postings":310,"ghost_share":0.016,"stale_share":0.232,"repost_share":0.048,"time_to_fill_p50_days":21,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","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":["Quincy, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":202500,"currency":"USD","period":"year","gross":null,"usd_annual":202500},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Platform Engineering","optional":false},{"name":"Snowflake","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"ETL/ELT","optional":true},{"name":"GCP","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-15T06:03:20Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"Who we are looking for Why this role is important to us\nWe are looking for a Data Analytics (Snowflake) Technical Engineering Lead, AVP to join our Data Platform Engineering team, whose mission is to engineer and deliver self-service, performant and resilient data services platform to enable world class product development.\nWhy this role is important to us\nWe are looking for an experienced Snowflake technical engineering leader who will be responsible for planning, designing, developing and maintaining the data architecture, data models and best practices standards for various Data Analytics & Integration projects in Snowflake.\nWhat you will be responsible for\nYou will be responsible to incorporate new features and ensure all subject areas are modelled to integrate with existing structures.\nYou will be expected to create & continuously enhance documentation of the deployments & best practices pertaining to implementation of data architectures, data flows and data models in the platform. \nYou will work within a global team to develop and maintain automation that enable self-service & management capabilities of the platform as part of the operating model. This role requires a broad range of skills and the ability to step into different roles depending on the size and scope of the projects.\nWhat we value\nThese skills will help you succeed in this role\nThe candidate must exhibit ability to lead and successfully complete multiple, complex technical projects and create high-level design and architecture of the solution - includes design & deployment infrastructure diagrams.\nBe a self-starter and take ownership of technical solutions from design and architecture perspective for projects, help navigate complex use-cases to provide guidance on fit-for-platform\nDeliver using an Onshore/Offshore model in a matrix org structure \nGather end user requirements and writing technical documentation\nProvide innovative solutions based on new technologies and latest product features.\nWork closely with application development team to understand the business, capture requirements, identify pain areas, accordingly, propose an ideal solution to grow business.\nManaging pipelines using Terraform scripts to deploy resources\nProvide engineering analysis and support for creating Snowflake accounts and onboarding new projects - ensuring enterprise security/compliance standards are strictly enforced.\nProvide Administrative support closely working with vendor for any environment issues.\nUnderstand the needs of automation and put forth options for solutions.\nWork with production management and cloud teams to analyze and provide solutions for database related automation and solution\nEducation and preferred qualifications\nCandidate must have experience working with Snowflake and 5+ years of experience in Data Analytics, & Integration projects.\nMust have prior experience with end to end implementation of Snowflake cloud data warehouse - on AWS & Azure, optionally on GCP.\nSkills & experience must include deep expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel, cost governance, and be able to provide guidance on how to use these features\nShould be well versed in in Snowflake - data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL concepts\nExperience in development and management of CI/CD pipelines using GIT repositories and DevOps for Infrastructure-as-Code deployments (terraform, ansible, python, etc.)\nHands-on experience with Snowflake utilities, SnowSQL, SnowPipe, other bigdata migration techniques using scripting (python, etc.) or industry standards tools (golden gate etc.)\nExperience in Data Migration from RDBMS to Snowflake cloud data warehouse\nDeep understanding of relational and optionally some of the industry standard NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling etc.)\nExperience with data security and data access controls and design - be able to implement best practices based on organization policies & requirements, at the same time making it simple for users.\nExperience with AWS and Azure PaaS, data storage and management technologies such as S3 and ADLS\nBuild processes supporting data transformation, data structures, metadata, dependency and workload management\nMust be Proficient in reviewing complex SQL code to tune, troubleshoot & resolve performance challenges in the environment or applications. \nProvide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface. Should be able to go wider across infrastructure, platform, & application domains to resolve issues.\nStrong written communication skills. Is effective and persuasive in both written and oral communication.\nIs able to lead devops/automation resources in delivering self-service capabilities\nStrong critical thinking and problem solving skills. Ability to be open to discussion of potential options.\nDemonstrates solid knowledge of the overall software development life cycle including development, testing and deployment of all application modules\nAbility to work independently in a fast-paced development environment\nGood to be Certified Snowflake cloud data warehouse Architect.\nUnderstanding and working knowledge of Databricks\nSalary Range:\n$120,000 - $202,500 AnnualThe range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.\nEmployees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.\nFor a full overview, visit https://hrportal.ehr.com/statestreet/Home.\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\nJob Application Disclosure:\nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. 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