Principal Data Engineer - Parametric

ABOUT MORGAN STANLEY Morgan 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. ABOUT PARAMETRIC Parametric 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. This 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. ABOUT THE TEAM The 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. ABOUT THE ROLE The 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. The 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. A 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. PRIMARY RESPONSIBILITIES AI & Automation Integration: Design and implement data pipelines optimized for machine learning, generative AI, and real-time analytics. Modern Data Architecture: Build scalable, cloud-native architectures leveraging Data Mesh, Lakehouse, and streaming technologies. Data Governance & Ethics: Enforce responsible AI practices, data privacy, and compliance with evolving regulations. Performance Optimization: Apply advanced techniques for query optimization, distributed computing, and cost-efficient cloud operations. Legacy Modernization: Reimagine legacy systems using containerization, serverless computing, and AI-driven orchestration. Collaboration & Leadership: Partner with business and technical stakeholders to align solutions with strategic objectives. Documentation & Standards: Maintain technical specifications, runbooks, and architectural diagrams. Security & Resilience: Implement zero-trust security models, disaster recovery, and automated failover strategies. Continuous Innovation: Evaluate emerging technologies (e.g., AI agents, quantum-ready data frameworks) and integrate where applicable. Evaluates and provides feedback on future technologies and new releases/upgrades. Contributes to the establishment of business continuity & disaster recovery requirements, methods and procedures for data systems and databases. Job Requirements Bachelor's in Computer Science, Mathematics, or Engineering or equivalent work experience 10+ years of data engineering, data science, or software engineering experience 3+ years of experience with Snowflake 4+ years of experience in AWS (or similar cloud technologies) cloud stack including S3, IAM, Athena, SNS, SQS, and EMR. 6+ years of SQL Server and experience with tools such as SSIS and SSRS Demonstrated success providing both expert technical guidance and team leadership Capability of architecting highly scalable distributed systems, using different open-source tools Highly skilled in leading teams using Agile development process such as Kanban or Scrum Demonstrated experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and data infrastructures Expert knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases Ability to collaborate and partner across a diverse team Ability to create strong work ethics and committed teams, foster open dialogue, and promote individual and team success Financial industry data fluency is preferred but not required Parametric 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 WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At 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. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser. Salary 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 lo