Director Full Stack Engineering
Fidelity Investments is a privately held, Boston-headquartered financial services company providing investing, trading, retirement, wealth management, brokerage, workplace benefits, custody and clearing, and digital-asset services.
About Fidelity Investments
Fidelity serves individual investors, employers, wealth-management firms, institutions, innovators, and charitable donors through diversified financial-services businesses. Current offerings include brokerage and trading, mutual funds and exchange-traded products, retirement and workplace savings, financial planning and advice, wealth management, institutional custody and clearing, and crypto/digital-asset products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead architecture and delivery for scalable full-stack applications and data platforms. You will set technical direction, guide cross-functional implementation, modernize the data ecosystem, mentor teams, and establish engineering practices for development, deployment, security, and data quality.
Requirements
- Bachelor’s degree and six years of relevant experience, or master’s degree and four years of relevant experience.
- Experience designing and delivering large-scale analytics applications in Agile financial services environments.
- AWS, Snowflake, Oracle, Python, and Control-M.
- Postgres, Hadoop, ETL/ELT processes, and SnapLogic.
- CI/CD pipelines, AWS EventBridge, UNIX shell scripting, Hive, SQL, and PL/SQL.
- Git, Maven, Jenkins, Docker, Kubernetes, Splunk, and Datadog.
- Dimensional and Data Vault data modeling.
- Waterfall, Agile, and DevSecOps workflows.
Responsibilities
- Translate business strategy into functional architectural recommendations.
- Lead cross-functional architecture design efforts.
- Oversee implementation and deployment of major technology initiatives.
- Lead discussions to clarify requirements and guide solution direction.
- Set organizational vision, goals, and direction for major initiatives.
- Modernize the data ecosystem through emerging technologies and prototypes.
- Resolve technical roadblocks and mitigate delivery risks.
- Provide technical leadership, supervision, training, and coaching.
- Research and recommend technologies, architectures, and methods.
- Plan future resource needs for strategic objectives.