Director, Data Engineering

Fidelity Investments Inc.; Durham (NC); On-site; USD 180,000 - 260,000; Full time

Job summary

Fidelity Investments Inc. in Durham, NC is seeking a Director of Data Engineering to lead architecture and delivery of enterprise data solutions across OLTP, ODS, and data warehouses. You will mentor teams and drive CI/CD pipelines, data quality, and scalable data APIs.

Strong Java, Python, SQL, and cloud experience on AWS are required. This is an onsite role with a phased rollout across regions. The candidate will translate business strategy into architectural plans, collaborate with

Qualifications

• Bachelor’s or Master’s degree with 4–6+ years in a Director role implementing data solutions.
• Experience with OLTP, ODS, and data warehousing environments.
• Strong leadership and architectural design experience.

Responsibilities

• Leads architecture, design, and implementation of enterprise data solutions for scalability and security.
• Mentors engineering teams, drives POC initiatives, and fosters innovation.
• Develops data APIs and ensures reliable ingestion and distribution.
• Directs CI/CD pipelines and testing strategies for data platforms.

Skills

High-throughput data pipelines

Java

Spring Boot

WebFlux

Python

Oracle

PL/SQL

Unix Shell scripting

Informatica

Snowflake

AWS

Jenkins

GitHub

CI/CD

Delphix VDBs

Kubernetes / EKS

Education

Bachelor’s degree in Computer Science / Engineering / IT, or related field

Master’s degree in Computer Science / Engineering / IT, or related field

Tools

Jenkins

GitHub

SonarQube / Xray

Oracle Delphix VDBs

Informatica

Snowflake

AWS (EKS, S3, Lambda)

Job description

Director, Data Engineering### Director, Data EngineeringApply: 100 New Millennium Way, Bldg 2, Durham NC: Full time: Posted Today: End Date: December 1, 2026 (30+ days left to apply): 2137039**Fidelity will not provide immigration sponsorship for this position.**## ## Job Description:**Position Description**:Leads technology strategy by selecting tools and frameworks to efficiently ingest, transform, and deliver high quality data from multiple source systems and vendors. Enforces engineering best practices through design and code reviews, implements automated testing strategies with UTPLSQL and Karate to ensure reliability and quality. Implements Continuous Integration / Continuous Deployment (CI/CD) pipelines and automation workflows to enable efficient, reliable, and scalable data platform operations. Creates and customizes data quality frameworks as per compliance monitoring, business operations and analytical needs.**Primary Responsibilities:**· Leads the architecture, design, and implementation of enterprise data solutions for the business, ensuring scalability, security, and high performance.· Mentors and coaches engineering teams, leads proof of concept initiatives, and fosters innovation to address complex business requirements.· Designs, develops and modifies complex and major software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design.· Develops and directs software system testing and validation procedures, programming, and documentation.· Translates and incorporates business vision and strategy to architectural strategy recommendations at the functional level.· Participates in high-level, cross-functional architecture design teams.· Identifies and consults with internal and external technical resources to produce cross-company strategic designs.· Consults on development and delivery of major technology initiatives for the business unit.· Consults on deployment of major project deliverables.· Regularly provides guidance, training, and coaching to other team members for performance and career development.· Identifies and plans for future resource needs.· Determines technical approaches at a strategic level for the business unit.· Manages complex project delivery spanning multiple development teams.· Leads strategic engineering and software delivery lifecycle (SDLC) initiatives.**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, Data Engineering (or closely related occupation) implementing data solutions in online transaction processing (OLTP), operational data store (ODS), and data warehousing environments.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, Data Engineering (or closely related occupation) implementing data solutions in online transaction processing (OLTP), operational data store (ODS), and data warehousing environments. **Skills and Knowledge**:Candidate must also possess:· Demonstrated Expertise (“DE”) designing and implementing high-throughput data pipelines and scalable data Application Programming Interface (APIs); and enabling seamless data movement from ODS using Oracle, AutoSys, Informatica, PL/SQL, Unix Shell scripting, and Python.· Demonstrated Expertise engineering resilient common data APIs for data ingestion and distribution using Java, Spring Boot, and WebFlux; and deploying cloud-native solutions on AWS (EKS, S3, and Lambda) with components (EKS, Lambda, ALBs, Route 53, EC2, S3, and EFS), to ensure high availability and fault tolerance.· Demonstrated Expertise building system architecture designs and developing solutions for enterprise data pipelines and transactional datastore, using Oracle and Delphix Virtual Database (VDBs); and performing data warehousing using Informatica, Oracle, and Snowflake.· Demonstrated Expertise performing SQL performance fine‐tuning, end‐to‐end batch performance optimization, and SQL query troubleshooting, using Oracle execution plans (DBMS\\_XPLAN), Explain Plan, or Hints; and automating regression testing for critical databases, using Karate Test Automation running on Oracle Delphix VDBs via CI/CD pipelines using Jenkins, GitHub, Sonar, and Xray.#PE1M2#LI-DNIFidelity’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 TechnologyPlease 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.