Principal Data Engineer

Fidelity Financial Services

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Quick summary

Work type
On-site
Location
Westlake, TX
Posted
1 day ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $182k
$132k most similar roles pay here $246k

This listing doesn't post a salary. Most similar roles pay $149,500–$214,600.

Based on 240 similar postings.

Employer

About Fidelity Financial Services

Fidelity Investments is one of the largest financial services companies in the world, offering brokerage services, mutual funds, retirement planning, wealth management, and life insurance to individuals and institutions. Industry: Financial Services & Investment Management

Fidelity Financial Services currently has 96 open roles on FindRole.

Listed pay typically runs $107,000–$192,296 across 24 roles with salary data.

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At a glance

TL;DR · Principal Data Engineer

The Principal Data Engineer joins the team to advance enterprise data platform capabilities by engineering cross-platform data services across cloud and enterprise database environments. This role involves designing database engineering patterns for schema evolution, workload isolation, and resource governance while building high-volume data movement and replication pipelines for near real-time availability. Key responsibilities include performing deep performance engineering on SQL and PL/SQL workloads, providing application database administration, and mentoring junior team members. The position requires expertise in Snowflake, Amazon Web Services, Oracle Database, Oracle Exadata, and Oracle GoldenGate. Candidates will utilize SnowSQL, streams, tasks, and Oracle utilities to solve complex problems involving large-scale production environments, including managing petabytes of data, designing high availability strategies, and performing capacity planning for mega-size databases.

What does a Data Engineer earn?

Median $162000 from 188 postings across 59 companies.

See salary data

What you'll do

  • Engineer cross-platform data services across cloud and enterprise database environments.
  • Design and implement database engineering patterns for schema evolution, workload isolation, and resource governance.
  • Build high-volume data movement, replication, and synchronization pipelines for near real-time availability.
  • Perform deep performance engineering on SQL and PL/SQL workloads through execution plan analysis and query tuning.
  • Provide application database administration for Oracle and Snowflake, including data modeling and development support.
  • Develop data applications and technical solutions for complex projects and subsystems.
  • Establish full project life cycle plans and coordinate schedules for multiple complex projects.
  • Design and implement High Availability/Disaster Recovery (HA/DR) strategies for large-scale databases.

What we're looking for

  • Bachelor’s degree in a related field and experience as a Principal Data Engineer.
  • Master’s degree in a related field and experience as a Principal Data Engineer.
  • Experience performing enterprise data platform engineering using Snowflake, AWS, Oracle Database, Oracle Exadata, and Oracle GoldenGate.
  • Expertise implementing and maintaining Oracle replication technologies including GoldenGate, Data Guard, and HVR.
  • Expertise in database architecture, including data modeling, capacity planning, indexing, partitioning, and HA/DR strategies.
  • Expertise designing and implementing resilient Oracle databases of mega size (500+TB) on Exadata and Oracle Database@AWS.
  • Expertise designing and maintaining Snowflake platforms with 50+ databases and petabytes of data.
  • Experience performing deep performance engineering across SQL and PL/SQL workloads.

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