Director, Data Engineering

Fidelity Investments•Durham, NC

About The Position

Leads technology strategy for data engineering by selecting tools and frameworks to ingest, transform, and deliver high-quality data from multiple source systems and vendors. Enforces engineering best practices through design and code reviews, automated testing strategies, CI/CD pipelines, and automation workflows. Develops data quality frameworks to support compliance monitoring, business operations, and analytics. Leads architecture, design, and implementation of enterprise data solutions, ensuring scalability, security, and high performance. The role also provides technical leadership across engineering teams, directs complex project delivery and software delivery lifecycle initiatives, and translates business strategy into architectural recommendations. The position requires experience implementing data solutions in OLTP, ODS, and data warehousing environments, along with demonstrated expertise in data pipelines, APIs, cloud-native AWS solutions, database technologies, performance optimization, and automated testing.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent), and six years of experience as a Director, Data Engineering or in a closely related occupation implementing data solutions in OLTP, ODS, and data warehousing environments; alternatively, a master’s degree in one of these fields (or foreign education equivalent) and four years of such experience.
Demonstrated expertise designing and implementing high-throughput data pipelines and scalable data APIs, and enabling 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 using EKS, S3, and Lambda, with components including EKS, Lambda, ALBs, Route 53, EC2, S3, and EFS.
Demonstrated expertise building system architecture designs and developing enterprise data pipeline and transactional datastore solutions 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.
Demonstrated expertise automating regression testing for critical databases using Karate Test Automation running on Oracle Delphix VDBs through CI/CD pipelines using Jenkins, GitHub, Sonar, and Xray.
Fidelity will not provide immigration sponsorship for this position.

Responsibilities

Lead the architecture, design, and implementation of enterprise data solutions for the business, ensuring scalability, security, and high performance.
Mentor and coach engineering teams, lead proof-of-concept initiatives, and foster innovation to address complex business requirements.
Design, develop, and modify complex and major software systems using scientific analysis and mathematical models to predict and measure outcomes and consequences of design.
Develop and direct software system testing and validation procedures, programming, and documentation.
Translate and incorporate business vision and strategy into architectural strategy recommendations at the functional level.
Participate in high-level, cross-functional architecture design teams.
Identify and consult with internal and external technical resources to produce cross-company strategic designs.
Consult on development and delivery of major technology initiatives for the business unit.
Consult on deployment of major project deliverables.
Provide guidance, training, and coaching to team members for performance and career development.
Identify and plan for future resource needs.
Determine technical approaches at a strategic level for the business unit.
Manage complex project delivery spanning multiple development teams.
Lead strategic engineering and software delivery lifecycle (SDLC) initiatives.
Select tools and frameworks to ingest, transform, and deliver high-quality data from multiple source systems and vendors.
Enforce engineering best practices through design and code reviews and automated testing strategies.
Implement CI/CD pipelines and automation workflows for efficient, reliable, and scalable data platform operations.
Create and customize data quality frameworks for compliance monitoring, business operations, and analytical needs.