Director, Data Engineering

Fidelity Financial Services

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Quick summary

Work type
On-site
Location
Durham, NC
Posted
1 day ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $215k
$157k most similar roles pay here $274k

This listing doesn't post a salary. Most similar roles pay $168,300–$262,600.

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 · Director, Data Engineering

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The Director, Data Engineering leads the development of Performance Measurement and Analysis front-end and API applications for complex projects and subsystems. This role involves driving architecture design, coordinating engineering activities, and planning technical work across multiple projects. You will build and support cloud-based solutions, Java RESTful APIs, and front-end applications using Angular, Spring Boot, JavaScript, Bootstrap CSS, and HTML5. Key responsibilities include performing risk assessments, monitoring performance via AWS VPC, EKS, RDS, and Datadog, and managing CI/CD processes with Terraform, Jenkins, and GitHub. The work focuses on wealth management financial planning platforms, specifically developing backend services for customer account management, brokerage platforms with responsive user interfaces, and financial planning and profiling APIs within a complex ecosystem of real-time data updates.

Skills

Java Spring Boot Angular AWS REST APIs CI/CD Terraform SQL Datadog EKS RDS DynamoDB Redis Splunk Jenkins GitHub Grafana Spring Security Spring Integration Drop Wizard JWT SOAP HTML5 JavaScript Bootstrap CSS Confluence draw.io Apigee micro services Agile

What you'll do

  • Lead the development of PMA front-end and API applications for complex projects and subsystems.
  • Define technical approaches and drive architecture design for cloud-based solutions using Angular and Spring Boot.
  • Plan and sequence technical work across multiple projects while performing risk assessments and mitigation strategies.
  • Monitor application performance using AWS services, including VPC, EKS, RDS, and Datadog.
  • Identify functional gaps and technical challenges to propose solutions with compliance, architecture, and product teams.
  • Set engineering best practices for UI, middleware, database code development, and Agile processes.
  • Research and recommend new technologies to support domain-wide advancement and organizational strategy.
  • Provide technical supervision and coaching to multiple teams on complex organization-wide projects.

What we're looking for

  • Bachelor’s degree in a related field and six years of experience as a Director, Data Engineering designing and developing Rest APIs and web applications.
  • Master’s degree in a related field and four years of experience as a Director, Data Engineering designing and developing Rest APIs and web applications.
  • Experience designing and developing Rest APIs and web applications in a wealth management financial planning platform using Java/J2EE.
  • Expertise designing scalable technology solutions using Confluence, draw.io, Datadog, Splunk, Spring Integration, and Drop Wizard.
  • Expertise developing UI Web applications using Angular (modules, routing, observables), JavaScript, Bootstrap CSS, and HTML5.
  • Expertise developing Java RESTful and SOAP Web services using Spring MVC, Spring Core, Spring Security, and Spring Boot.
  • Expertise developing Cloud-based solutions using AWS VPC, ECS, EKS, DynamoDB, RDS, ElastiCache Redis, and Datadog.
  • Expertise implementing CI/CD practices using Terraform, Jenkins, GitHub, Grafana, and Splunk.

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