{"id":40346,"url":"https://alion.io/job/state-street-cloud-data-engineer-avp","title":"Cloud Data Engineer, 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":97,"open_postings":346,"ghost_share":0.014,"stale_share":0.249,"repost_share":0.049,"time_to_fill_p50_days":21,"computed_at":"2026-10-20T05:45:00Z"}},"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":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":90000,"max":157500,"currency":"USD","period":"year","gross":null,"usd_annual":157500},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"AI Agents","optional":true},{"name":"Airflow","optional":true},{"name":"Amazon EC2","optional":true},{"name":"Amazon Kinesis","optional":true},{"name":"Amazon S3","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS Lambda","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Java","optional":true},{"name":"Kubernetes","optional":true},{"name":"Python","optional":true},{"name":"Scala","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-08-04T00:00:00Z","employer_posted_date":"2026-08-04","last_verified_at":"2026-10-20T08:21:44Z","board_verified":true,"closed_at":null,"days_open":77,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":77},"description":"As a Cloud Data Engineer, AVP, you will design, develop and deliver scalable cloud data solutions using Databricks and AWS. You will collaborate with technology and business partners to modernize data platforms, develop reliable data, AI and machine learning pipelines, and help teams adopt secure, efficient, and cost-effective engineering practices.\nEducation and experience\nBachelor’s degree in computer science, information systems, or a related field, or equivalent practical experience.\nFive or more years of experience in data engineering, including hands-on work with cloud technologies.\nAWS and/or Databricks certification is preferred but not required.\nWhat you will be responsible for\nAssess existing application and data infrastructure, identify improvement opportunities, and recommend cloud-based solutions that enhance performance, scalability, and reliability.\nDefine and document best practices for application deployment, cloud infrastructure, and production support.\nBuild reusable, efficient, and scalable data solutions, and develop cost-effective cloud migration strategies.\nDesign, develop, and optimize data engineering and machine learning pipelines in Databricks using AWS services such as Amazon S3, EC2, API services, RDS, Kinesis, Kafka, and Lambda.\nPartner with IT teams and business stakeholders to migrate data engineering and machine learning applications to Databricks and AWS.\nManage competing priorities and deliver high-quality solutions within time-sensitive project schedules when needed.\nEvaluate, learn, and support vendor products that contribute to the organization’s data and cloud capabilities.\nQuickly learn emerging technologies and develop proofs of concept to evaluate their value, feasibility, and potential for broader adoption.\nWhat we value\nDemonstrated decision-making, analytical, and problem-solving skills, with the ability to evaluate trade-offs and recommend practical solutions.\nStrong understanding of Databricks architecture and hands-on experience with Databricks Data Engineering, Machine Learning, and SQL warehouses.\nStrong programming experience in Scala, Python, and/or Java for data engineering workloads.\nStrong knowledge of Medallion architecture, Delta Live Tables, and Unity Catalog within Databricks.\nKnowledge of GenAI and Agentic AI is a plus.\nUnderstanding of core AWS services, their use cases, and AWS architecture best practices.\nHands-on experience across relevant domains such as database architecture, business intelligence, machine learning, advanced analytics, and big data.\nStrong knowledge of Apache Airflow for workflow orchestration.\nStrong knowledge of CI/CD pipelines and deployment automation for AWS-based solutions.\nExperience migrating relational databases, Java and Python applications, machine learning model code, and Elasticsearch-based solutions.\nExperience with Docker and Kubernetes is preferred.\nCuriosity and enthusiasm for learning new technologies, combined with a strong commitment to hands-on engineering.\nEffective written and verbal communication skills, with the ability to explain technical concepts and collaborate with stakeholders and senior management.\nAbility to perform data and system analysis, identify root causes, and translate findings into actionable recommendations.\nAbility to adapt to changing priorities and work effectively in a collaborative, fast-paced environment.\nSalary Range:\n$90,000 - $157,500 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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