Director, Data Engineering

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.

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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.