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Director, Data Engineering

Director, Data Engineering

locationJersey City, NJ, USA
PublishedPublished: 4/30/2025
Full Time

Job Description:

The Role

The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building an elite data services team. We are looking for individuals who bring expertise in standard methodologies for data onboarding and quality, and aim to achieve excellence in team building, operations, tooling, and automation. This is an organization leadership role along with hands on development and delivery, which requires a combination of both deep technical and influencing skills, as well as participation in architecture, design, analysis, and evangelizing activities.

Primary Location: Boston, MA

Additional Locations; Merrimack, NH; Jersey City NJ

The Expertise and Skills You Bring

  • Bachelor's degree or equivalent experience in either Computer Science, Management Information Systems, Business Information Systems, Mathematics or Finance related field with minimum 10 years of financial data analysis, design & development experience.

  • Demonstrated experience in Asset Management data domain who can provide data solutions and consult with senior level technology and business leaders

  • Deep data domain understanding of financial security reference data, Prices, Returns, Index & Benchmark, Risk, Equity Fundamentals

  • Demonstrated experience in defining project scope based on analysis of business requirements and existing systems by articulating business problem/requirement/solution in technology terms and vice versa.

  • A consistent track record of working with sophisticated data environments and associated technology and analytics infrastructure needed to support these environments. History of leading and running data initiatives. Ability to recognize business risk and surface it to key decision-makers.

  • A leader who is passionate about promoting a team culture of accountability and continuous improvement and removing drag forces to enable team success.

  • Experience in Python programming and familiarity with core data science libraries, programming interfaces, microservice architectures and Data Architecture (Database design, performance optimization) knowledge is an added advantage

The Value You Deliver

  • Deliver datasets from onboarding through mapping and automated quality checks, so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production.

  • You serve as a domain expert to provide timely, pertinent information to other members of the squad and/or business partners.

  • You will be responsible for defining acceptance test cases working with product owners and validating results against the defined test cases, guiding key integrations decisions, driving solutions and collaborating with technology partners.

  • Provide data stewardship to other team members and to Data Operations as they review datasets for completeness and quality.

  • Mentor team members helping the team to specialize and scale

The Team

Asset Management Technology (AMT) provides worldwide technology and support to all the Investment Management, Research, Trading, and Investment Operations functions. This role will be part of our Quantitative Research & Investing Technology team, which is responsible for architecting, developing, and maintaining systems that support quantitative trading.

The base salary range for this position is $103,000-$218,000 per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.

Certifications:

Category:

Information Technology