Technical Lead, Data Engineering

Fidelity Investments • Boston, MA

4d • $126,000 - $255,000

About The Position

Fidelity is seeking a hands-on Director of Data Engineering to design and scale the data, graph, and AI foundations behind its workforce intelligence platform. This senior individual contributor role combines architecture, engineering, and platform development with hands-on coding and solution delivery. The position partners with data scientists, machine learning engineers, and business leaders to build capabilities for analytics and AI-powered experiences.

The role develops cloud-native data platforms and services, scalable APIs, pipelines, and data products, and graph-based solutions and connected-data architectures. It also supports machine learning, embedding, vector search, and AI workloads. The workforce intelligence platform connects workforce data, skills, experiences, organizational relationships, and AI capabilities to enable improved decisions and experiences for associates, managers, and business leaders.

Fidelity is transitioning to a full-time onsite working model through a phased rollout. Current onsite expectations vary by role and location and may evolve. Fidelity will not provide immigration sponsorship for this position.

Requirements

• Deep expertise in modern data engineering and platform architecture.
• Experience designing and implementing cloud-native data platforms and services.
• Ability to build scalable APIs, pipelines, and data products using Python, SQL, AWS, and modern cloud-native tooling.
• Experience with containerized workloads, orchestration frameworks, distributed processing technologies, and software engineering best practices.
• Experience developing graph-based solutions and connected-data architectures.
• Ability to support machine learning, embedding, vector search, and AI workloads.
• Bachelor’s degree or equivalent experience in Computer Science, Engineering, or another quantitative discipline.

Nice To Haves

• Experience with Neo4j.
• Experience in workforce, talent, HR, or enterprise analytics domains.

Responsibilities

• Design and implement cloud-native data platforms and services.
• Build scalable APIs, pipelines, and data products.
• Develop graph-based solutions and connected-data architectures.
• Support machine learning, embedding, vector search, and AI workloads.
• Enable workforce intelligence products through scalable platforms and services.
• Partner with data scientists, machine learning engineers, business leaders, Human Resources, and technology teams to deliver platform capabilities, analytics, and AI-powered solutions.
• Remain hands-on in coding and solution delivery while contributing to architecture, engineering, and platform development.

Benefits

• Comprehensive health care coverage.
• Emotional well-being support.
• Retirement benefits.
• Paid time off.
• Parental leave.
• Charitable giving employee match program.
• Educational assistance, including student loan repayment, tuition reimbursement, and learning resources.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior