Principal Data Engineer

Primary Responsibilities:

• Participates in data architecture design teams.
• Defines and implements application-level data architecture.
• Develops data applications on complex projects, components, and subsystems for the division.
• Recommends data testing tools and methodologies and reviews and validates test plans.
• Responsible for QA readiness of software deliverables.
• Develops comprehensive documentation for multiple applications or subsystems.
• Establishes full project life cycle plans for complex projects across multiple platforms.
• Responsible for meeting project goals on-time and on-budget.
• Advises on risk assessment and risk management strategies for projects.
• Plans and coordinates project schedules and assignments for multiple projects.
• Acts as a primary liaison for business units to resolve various project/technology issues.
• Provides technology solutions to daily issues and technical evaluation estimates on technology initiatives.
• Advises senior management on technical strategy.
• Mentors junior team members.
• Performs independent and complex technical and functional analysis for multiple projects supporting several divisional initiatives.
• Develops original and creative technical solutions to on-going development efforts.

Education and Experience:

Bachelor’s degree in Applied Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Data Engineer (or closely related occupation) performing enterprise data platform engineering using Snowflake, Amazon Web Services (AWS), Oracle Database, Oracle Exadata, and Oracle GoldenGate in large-scale production environments.

Or, alternatively, Master’s degree in Applied Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Data Engineer (or closely related occupation) performing enterprise data platform engineering using Snowflake, Amazon Web Services (AWS), Oracle Database, Oracle Exadata, and Oracle GoldenGate in large-scale production environments.

Skills and Knowledge:

Candidate must also possess:

· Demonstrated Expertise implementing, installing, and maintaining Oracle replication technologies -- Oracle GoldenGate (Active/Active and Active/Passive), Oracle Data Guard, and High-Volume Replication (HVR).

· Demonstrated Expertise supporting database architecture, including designing physical and logical data models and performing capacity planning, indexing, partitioning, archiving, and compression; and designing and implementing High Availability/Disaster Recovery (HA/DR) strategies.

· Demonstrated Expertise designing and implementing highly resilient and performant Oracle databases with mega size (500+TB) databases on Oracle Exadata appliances and Oracle Database@AWS (ODB).

· Demonstrated Expertise designing, implementing, and maintaining Snowflake database platform with large number (50+) of databases and petabytes of data.

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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:

Information Technology

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.