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Director Data Engineer Jobs in Raleigh, NC (NOW HIRING)

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site

The Director, Data Sciences is responsible for leading a team of data scientists and developing ... in multiple programming languages relevant to data science (Python, R, etc.) and big data ...

Korn Ferry

Director, Data Sciences

Raleigh, NC · On-site

The Director, Data Sciences is responsible for raising data-driven decision making within a ... in multiple programming languages relevant to data science (Python, R, etc.) and big data ...

Pwc

Data Engineer - Senior Manager

Raleigh, NC

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ... Self-directed execution and ownership in a distributed environment, combined with strong cross ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ... Self-directed execution and ownership in a distributed environment, combined with strong cross ...

Focused HR Solutions

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

Our direct client has an opening for a Azure Data Engineer position # 730992. This position is for 4+ months, with option of extension, and will be worked 100% on-site in Raleigh, NC. If you are ...

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Director Data Engineer information

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$50.1K

$143.3K

$191.5K

How much do director data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for director data engineer in Raleigh, NC is $143,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,600.00 and $190,500.00 per year, depending on experience, location, and employer.

What does a director data engineer do?

A Director Data Engineer leads teams responsible for designing, building, and maintaining large-scale data architectures and infrastructure within an organization. They oversee data engineering projects, establish data management best practices, and ensure data systems are scalable, secure, and reliable. Additionally, they collaborate with other departments, such as analytics and IT, to align data strategies with business goals while mentoring and managing junior engineers.

What are the key skills and qualifications needed to thrive as a director data engineer, and why are they important?

To thrive as a Director Data Engineer, you need advanced expertise in data architecture, data modeling, and large-scale data processing, typically backed by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), big data tools (like Hadoop, Spark), and relevant certifications (e.g., Google Cloud Certified - Professional Data Engineer) is critical. Strong leadership, strategic thinking, and effective communication skills set top performers apart in this role. These abilities are vital for designing robust data solutions, leading high-performing teams, and aligning data initiatives with organizational goals.

How does a director data engineer typically collaborate with other departments to drive business objectives?

A Director Data Engineer works closely with cross-functional teams such as product management, analytics, and IT to align data infrastructure and engineering strategies with overall business goals. They facilitate communication between data engineering teams and key stakeholders, ensuring that data solutions address real business needs and support decision-making. This role often involves leading meetings, prioritizing projects based on cross-departmental feedback, and translating technical requirements into actionable plans for their teams. Effective collaboration is essential for delivering scalable, high-impact data solutions across the organization.

How much does a director data engineer make in the US?

A director data engineer in the US typically earns between $130,000 and $180,000 annually, with salaries varying based on experience, location, and company size. They often oversee data teams, manage large-scale data infrastructure, and require expertise in tools like SQL, Python, and cloud platforms.

What are the most commonly searched types of Data Engineer jobs in Raleigh, NC?

The most popular types of Data Engineer jobs in Raleigh, NC are:

What are popular job titles related to Director Data Engineer jobs in Raleigh, NC?

For Director Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Director Data Engineer jobs in Raleigh, NC look for?

The top searched job categories for Director Data Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Director Data Engineer jobs?

Cities near Raleigh, NC with the most Director Data Engineer job openings:

Director Data Engineer jobs near you

Director, Data Engineering

Fidelity Investments

Durham, NC • On-site

Full-time

Re-posted 27 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

16th of 151 rated financial services

Job description


Position Description:
Note: Fidelity will not provide immigration sponsorship for this position.
Provides technology and functional leadership and expertise in solutioning Security Exchange Commission (SEC) Regulatory Fund and Aggregate monitoring rules for compliance monitoring. Solutions various data and data warehousing needs for Investment Compliance Engine (ICE). Oversees junior developers by providing guidance and supervising the requirement analysis, design, and end-to-end delivery process, including reviewing designs, data models, and developed code. Manages Agile teams, conducts agile ceremonies, and backlog grooming sessions to help with estimation and planning. Draws on in-depth knowledge of the business or function to provide business unit-wide solutions by developing complex, multi-faceted data solutions. Researches and recommends new technologies in support of the strategic direction of the business unit and participates in the research and recommendation of appropriate models, methods, tools, and technologies to achieve business-unit-wide solutions.
Primary Responsibilities:
  • Translates and incorporates business vision and strategy to architectural strategy.
  • Participates in business and technology fusion sessions with product teams on new requirements for monitoring rules.
  • Identifies potential gaps in the current operation models and design component enhancements.
  • Identifies functional gaps and technical challenges, and works with compliance technology teams, architecture, and product owners to propose solutions.
  • Serves as a technical lead on core engine module enhancements for initiatives.
  • Sets best engineering practices in database code development and Agile process.
  • 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.
  • Consults on the documentation of major technology applications.
  • Initiates and drives project or strategy discussions with users or external groups to resolve issues.
  • Provides leadership, technical supervision, and expertise to multiple teams in broad technical areas on complex organization-wide projects.
  • Advises senior management on technical strategy.
  • Researches and recommends new technologies.
  • Regularly provides guidance, training, and coaching to other team members for performance and career development.
  • Identifies and plans for future resource needs.

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) designing, developing and implementing information technology solutions in a financial services, operations, and product development environment.
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) designing, developing and implementing information technology solutions in a financial services, operations, and product development environment.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") identifying and performing analysis and design of highly scalable and performant investment compliance monitoring systems, leveraging data for the implementation of Fund Monitoring (FM), Aggregate Monitoring (AM), and Limit Analysis (LA) tests during Time-Of-Trade (ToT) and as part of End-Of-Day (EOD) batch cycle, using Oracle, Informatica, and Kafka; and performing analysis of investment compliance needs (Fund of Fund (FoF) explosion and derivatives look-through), using Oracle tools.
  • DE building system architecture designs and developing solutions for application data storage, using Oracle technologies; performing data warehousing using Informatica, Oracle tools, and Information barriers; creating and customizing data quality frameworks as per compliance monitoring needs, using Oracle Enterprise Data Quality (EDQ); providing data protection for data structures using Oracle tools and Security Assertion Markup Language (SAML) Single Sign-On (SSO) frameworks; performing performance tuning and optimization using Oracle tools; and performing shell scripting and scheduling using Autosys.
  • DE provisioning Cloud infrastructure components -- Elastic MapReduce (EMR), Elastic Compute Cloud (EC2), Elastic Kubernetes Service (EKS), Relational Database Service (RDS), and Elastic Load Balancer setup -- for data analysis, reporting, and consumption on Cloud, using Amazon Web Services (AWS), AWS Lambda server-less computing, Cloud formation, and CI/CD tools (Jenkins and GitHub).
  • DE performing Aerospike caching to improve real-time compliance and check performance improvement, using Oracle; and designing and developing real-time ingestion pipes into Snowflake, using Snowflake analytics.

#PE1M2
#LI-DNI
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.
Certifications:
Category:
Information Technology
Please 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.

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