below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$156,621–$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
141 open roles
on FindRole.
Listed pay typically runs
$107,000–$216,000
across 35 roles with salary data.
The Director, Data Engineering leads the technology strategy for designing and implementing enterprise data solutions. This role involves leading architecture, mentoring engineering teams, and managing complex project delivery across multiple development teams. Day-to-day responsibilities include selecting tools for data ingestion, enforcing engineering best practices through code reviews, and implementing automated testing and CI/CD pipelines. The position requires expertise in building high-throughput data pipelines and scalable APIs using Java, Spring Boot, WebFlux, Python, and Unix Shell scripting. Key technologies include Oracle, Informatica, Snowflake, AutoSys, and AWS services like EKS, S3, and Lambda. The role solves technical problems related to online transaction processing, operational data stores, and data warehousing, ensuring high availability, fault tolerance, and data quality for business operations and analytical needs.
Lead the architecture, design, and implementation of scalable, secure, and high-performance enterprise data solutions.
Select tools and frameworks to ingest, transform, and deliver high-quality data from multiple source systems.
Develop and modify complex software systems using scientific analysis and mathematical models to predict design outcomes.
Implement CI/CD pipelines and automated testing strategies using UTPLSQL and Karate to ensure platform reliability.
Create and customize data quality frameworks to meet compliance, business operations, and analytical requirements.
Design and engineer high-throughput data pipelines and scalable APIs using Java, Spring Boot, and AWS cloud-native solutions.
Perform SQL performance fine-tuning and end-to-end batch performance optimization for critical databases.
Manage complex project delivery and lead strategic software delivery lifecycle (SDLC) initiatives across multiple teams.
What we're looking for
Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a related field and six years of experience as a Director, Data Engineering.
Master’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a related field and four years of experience as a Director, Data Engineering.
Experience implementing data solutions in online transaction processing (OLTP), operational data store (ODS), and data warehousing environments.
Expertise designing high-throughput data pipelines and APIs using Oracle, AutoSys, Informatica, PL/SQL, Unix Shell scripting, and Python.
Expertise engineering resilient data APIs using Java, Spring Boot, and WebFlux, and deploying cloud-native solutions on AWS (EKS, S3, Lambda, ALBs, Route 53, EC2, and EFS).
Expertise building system architecture for enterprise data pipelines using Oracle, Delphix Virtual Database (VDBs), Informatica, and Snowflake.
Expertise in SQL performance fine-tuning, batch performance optimization, and troubleshooting using Oracle execution plans, Explain Plan, or Hints.
Expertise automating regression testing for databases using Karate Test Automation via CI/CD pipelines using Jenkins, GitHub, Sonar, and Xray.
Data Engineering
AWS
Azure
GCP
AI
ML
MLOps
Data Lakes
Data Warehouse
Data Marts
Distributed Data Systems
Metadata Management
Data Strategy
Data Pipelines
Enterprise Architecture