Fidelity will not provide immigration sponsorship for this position.

Job Description:

Position Description:

Leads the design and development of highly available, scalable, and distributed applications and enterprise data platforms that support high-volume, high-velocity, and diverse data needs. Drives innovation by exploring emerging technologies, creating prototypes, and collaborating with key partners to advance cloud, data, and analytics capabilities. Develops cloud-based systems and full-stack applications across backend services, data pipelines, Application Programming Interfaces (APIs), and modern front- end frameworks. Defines and implements best-in-class engineering practices across development, testing, and production environments. Designs and delivers reusable frameworks for data quality, data security, and automation that can be leveraged across teams and business units. Champions modern DevOps, CI/CD, containerization, orchestration, and version-control practices to enable efficient, multi- environment deployments using Jenkins, Kubernetes, Docker, Maven, and Git stash. Applies deep business and technical expertise to build complex, multi-layered software solutions that address business-unit-wide needs. Researches and recommends technologies, architectures, and methods aligned with strategic objectives and long-term engineering effectiveness. Performs data modeling, including dimensional and Data Vault approaches, to support scalable and resilient data architecture.

Primary Responsibilities:

• Translates and incorporates business vision and strategy to architectural strategy recommendations at the functional level.
• Leads high-level, cross-functional architecture design efforts, identifying and engaging internal and external technical resources to produce cross-company strategic designs.
• Oversees the technical implementation and deployment of major technology initiatives and cross- divisional architectural components, ensuring proper documentation and alignment with enterprise standards.
• Initiates and drives project and strategy discussions with users and partner groups to address issues, clarify requirements, and guide solution direction.
• Sets the vision, goals, and direction for teams and the broader organization, planning and leading major organization-wide initiatives.
• Leverages emerging technologies to simplify and modernize the data ecosystem, driving innovation, prototyping, solution recommendations, and leading teams through successful implementation.
• Collaborates across internal and external teams to deliver technology solutions that meet business needs, resolving technical roadblocks, mitigating risks, and improving development agility and productivity.
• Provides leadership, technical supervision, and subject-matter expertise across multiple teams, advising on complex, organization-wide projects and guiding senior management on technical strategy.
• Researches and recommends new technologies, architectures, and methods, identifying opportunities for initiatives that benefit the broader organization.
• Acts as a technical leader and mentor, offering guidance, training, and coaching to support team member performance and career development.
• Identifies and plans for future resource needs to support long term strategic objectives.

Education and Experience:

Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Full Stack Engineering (or closely related occupation) designing, developing, and delivering analytics applications in an Agile and financial services environment using AWS, Snowflake, Oracle, and Python.

Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Full Stack Engineering (or closely related occupation) designing, developing, and delivering analytics applications in an Agile and financial services environment using AWS, Snowflake, Oracle, and Python.

Skills and Knowledge:

Candidate must also possess:

·         Demonstrated Expertise architecting, developing, and engineering traditional and real time streaming data platforms, using AWS, Snowflake and Oracle; and performing containerization and orchestration using Python.

·         Demonstrated Expertise architecting, developing, and implementing enterprise Cloud-based data pipeline solutions for databases -- Snowflake, AWS Cloud, Oracle, Postgres, and Hadoop; automating and scheduling end-to-end data pipelines using Control-M and AWS Event Bridge; writing SQL scripts to load enterprise warehouses for analytics data preparation using Snowflake and Python; deploying data pipelines, using DevOps Continuous Integration and Continuous Delivery methodologies (CI/CD), Maven, Git, and Jenkins; performing data warehousing, extraction, and transformation, using Snowflake and Oracle; and analyzing logs with Splunk and Datadog.

·         Demonstrated Expertise performing data modelling and database design, using dimensional (Star and Snowflake) and Data Vault data modelling techniques, and type 1, 2, and 3 dimensional structures in enterprise analytics and marketing Cloud data warehouse environments.

·         Demonstrated Expertise supporting onshore/offshore development, and core and maintenance projects according to engineering compliance practices, technology blueprint standards, and Agile methodologies using (Kanban or Scrum).

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Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:

Category:

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.