{"id":2067979,"url":"https://alion.io/job/morgan-stanley-principal-data-engineer-parametric","title":"Principal Data Engineer - Parametric","company":{"id":40230,"name":"Morgan Stanley","domain":"morganstanley.com","url":"https://alion.io/company/morgan-stanley","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":84,"open_postings":217,"ghost_share":0,"stale_share":0.654,"repost_share":0.009,"time_to_fill_p50_days":44,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":115000,"max":225000,"currency":"USD","period":"year","gross":null,"usd_annual":225000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"IAM","optional":false},{"name":"Kanban","optional":false},{"name":"Machine Learning","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Zero Trust","optional":false}],"status":"live","first_seen_at":"2026-05-14T00:00:00Z","employer_posted_date":"2026-05-19","last_verified_at":"2026-10-12T05:52:34Z","board_verified":true,"closed_at":null,"days_open":151,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":151},"description":"ABOUT MORGAN STANLEY\nMorgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.\nABOUT PARAMETRIC\nParametric is part of Morgan Stanley Investment Management, the asset management division of Morgan Stanley. We partner with advisors, institutions, and consultants to build portfolios focused on what's important to them and their clients. A leader in custom solutions for more than 30 years, we help investors access efficient market exposures, solve implementation challenges, and design multi-asset portfolios that respond to their evolving needs. We also offer systematic alpha and alternative strategies to complement clients' core holdings.\nThis role is part of Parametric's hybrid working model, which includes working in the office 3 days a week and choosing to work remotely or in the office the remaining days of the week.\nABOUT THE TEAM\nThe Data Engineering team ensures that data pipelines are scalable, repeatable, secure, and can serve multiple users. We help facilitate getting data from a variety of different sources, getting it in the right formats, assuring that it adheres to data quality standards, and assuring that downstream users can get that data quickly.\nABOUT THE ROLE\nThe Principal Data Engineer will serve as a technical lead on new and ongoing development projects, designing, developing, and maintaining services to support various business needs. In this role you will be responsible for guiding and mentoring a team of data engineers helping them to achieve their highest potential while collectively advancing the goals and projects of the engineering team.\nThe Principal Data Engineer is responsible for the design, structure, and maintenance of data projects ensuring the accuracy and accessibility of data relevant to an organization or a project. In this role the Principal Data Engineer needs to be able to take business requirements and design and architecture end to end that fully supports the business needs. The Lead Data engineer needs to be an expert in writing and optimizing SQL queries. They need to be able to document ideas and proposals which will include creating ER diagrams and architectural documents that document the transformation of data throughout its lifecycle.\nA successful Principal Data Engineer must possess superior analytical skills and be detail-oriented. This role requires the ability to communicate effectively as part of a larger team within the information technology department. Additionally, you will need to explain complex technical concepts to non-technical staff. Since development of data models and logical workflows is common, a Principal Data Engineer must also exhibit advanced visualization skills, as well as creative problem-solving.\nPRIMARY RESPONSIBILITIES\nAI & Automation Integration: Design and implement data pipelines optimized for machine learning, generative AI, and real-time analytics.\nModern Data Architecture: Build scalable, cloud-native architectures leveraging Data Mesh, Lakehouse, and streaming technologies.\nData Governance & Ethics: Enforce responsible AI practices, data privacy, and compliance with evolving regulations.\nPerformance Optimization: Apply advanced techniques for query optimization, distributed computing, and cost-efficient cloud operations.\nLegacy Modernization: Reimagine legacy systems using containerization, serverless computing, and AI-driven orchestration.\nCollaboration & Leadership: Partner with business and technical stakeholders to align solutions with strategic objectives.\nDocumentation & Standards: Maintain technical specifications, runbooks, and architectural diagrams.\nSecurity & Resilience: Implement zero-trust security models, disaster recovery, and automated failover strategies.\nContinuous Innovation: Evaluate emerging technologies (e.g., AI agents, quantum-ready data frameworks) and integrate where applicable.\nEvaluates and provides feedback on future technologies and new releases/upgrades.\nContributes to the establishment of business continuity & disaster recovery requirements, methods and procedures for data systems and databases.\nJob Requirements\nBachelor's in Computer Science, Mathematics, or Engineering or equivalent work experience\n10+ years of data engineering, data science, or software engineering experience\n3+ years of experience with Snowflake\n4+ years of experience in AWS (or similar cloud technologies) cloud stack including S3, IAM, Athena, SNS, SQS, and EMR.\n6+ years of SQL Server and experience with tools such as SSIS and SSRS\nDemonstrated success providing both expert technical guidance and team leadership\nCapability of architecting highly scalable distributed systems, using different open-source tools\nHighly skilled in leading teams using Agile development process such as Kanban or Scrum\nDemonstrated experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and data infrastructures\nExpert knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases\nAbility to collaborate and partner across a diverse team\nAbility to create strong work ethics and committed teams, foster open dialogue, and promote individual and team success\nFinancial industry data fluency is preferred but not required\nParametric believes each member of our organization makes a significant contribution to our success. That contribution should not be limited by the assigned responsibilities. Therefore, this job description is designed to outline primary duties and qualifications. It is our expectation that every member of our team will offer his/her/their services wherever and whenever necessary to ensure the success of our\nWHAT YOU CAN EXPECT FROM MORGAN STANLEY:\nAt Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that’s differentiated - and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.\nTo learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.\nSalary range for the position: $115,000 - $225,000/Yr. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit's incentive compensation plan, which also may include a discretionary bonus component. Morgan Stanley offers a full spectrum of benefits, including Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability and Other Insurance Plans, Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually), 10 Paid Holidays, 401(k), and Short/Long Term Disability, in addition to other special perks reserved for our employees. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings.\nMorgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.\nOur workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.\nFor more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.","description_format":"text","description_chars":8815,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Hybrid work","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management & Financial Advisors","Asset Management & Funds","Investment Banking & M&A Advisory","Online Brokerage & Trading Platforms"],"lifecycle":[{"event":"open","at":"2026-10-08T04:54:28Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 261 · green card filings: 46","filings_12m":261,"filings_prev_12m":208,"green_card_filings_12m":46,"median_offered_wage_usd":202500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+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":14}],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.379,"p_room":0.28,"age_days":151,"expected_fill_days":44,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":{"stated_usd_annual":225000,"is_top_pay":true},"html_url":"https://alion.io/job/morgan-stanley-principal-data-engineer-parametric","json_url":"https://alion.io/job/morgan-stanley-principal-data-engineer-parametric.json","meta":{"generated_at":"2026-10-12T13:08:04Z","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":20518,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":40230},"rest":"https://alion.io/mcp/rest/get_company?id=40230"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmorgan-stanley-principal-data-engineer-parametric"},{"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%2Fmorgan-stanley-principal-data-engineer-parametric"},{"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%2Fmorgan-stanley-principal-data-engineer-parametric"},{"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/morgan-stanley-principal-data-engineer-parametric\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmorgan-stanley-principal-data-engineer-parametric"}]}