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Vice President Data Engineering Jobs in Raleigh, NC

Vice President of Data Analytics- Hybrid | Cary, North Carolina We're a leader in data and AI ... Lead and develop high-performing teams across engineering, architecture, governance, and analytics ...

The Vice President of Lifestyle partners closely with community, regional, and corporate leaders to strengthen lifestyle programming, support team member development, and promote consistent service ...

Assistant Vice President

Cary, NC · On-site

$148K - $165K/yr

Assistant Vice President DB Global Technology, Inc. seeks an Assistant Vice President in Cary, NC ... data-driven decisions. Requires a Bachelor's degree in Engineering (any) or related field or ...

Position Title: SVP, Operations Reporting to: Chief Operating Officer Location: Strong preference ... Engineering, Data Science, Product, etc.) to resolve; ongoing communication of status updates with ...

Assistant Vice President

Cary, NC · On-site

$131K - $165K/yr

Requires a Bachelor's degree in Computer Science, Computer Engineering, or related field or ... data changes, leveraging end-to-end application support processes, escalation protocols, and ...

Experience working with general contractors, real estate developers, and A&D firms. * P&L ... Strategic thinker with analytical and data-driven decision-making ability. * Proficient in CRM ...

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Vice President Data Engineering information

See Raleigh, NC salary details

$109.4K

$209.6K

$387.4K

How much do vice president data engineering jobs pay per year?

As of Jul 20, 2026, the average yearly pay for vice president data engineering in Raleigh, NC is $209,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $175,000.00 and $225,500.00 per year, depending on experience, location, and employer.

What is the difference between Vice President Data Engineering vs Data Engineering Manager?

AspectVice President Data EngineeringData Engineering Manager
ResponsibilitiesStrategic leadership, overseeing data infrastructure, setting visionTeam management, project execution, technical oversight
Required CredentialsBachelor's/Master's in CS, extensive experience, leadership skillsBachelor's/Master's in CS, technical expertise, management experience
Work EnvironmentExecutive-level, cross-departmental collaborationTeam-based, project-focused, technical environment
Industry UsageCommon in large organizations, strategic rolesWidespread across companies, operational roles

The Vice President Data Engineering focuses on strategic leadership and long-term vision for data infrastructure, while the Data Engineering Manager handles day-to-day team management and project execution. Both roles require strong technical backgrounds, but the VP role emphasizes leadership and strategy, whereas the manager role is more hands-on with technical implementation.

What are Vice President Data Engineering?

A Vice President of Data Engineering is a senior executive responsible for leading and overseeing the data engineering function within an organization. They manage teams that design, build, and maintain data architectures, pipelines, and infrastructure to support data analytics and business intelligence. The VP of Data Engineering collaborates closely with other executives to define data strategy, ensure data quality, and enable data-driven decision-making across the company. Their role often includes setting technical direction, managing budgets, and ensuring compliance with data governance and security standards.

What are the key skills and qualifications needed to thrive as a Vice President of Data Engineering, and why are they important?

To thrive as a Vice President of Data Engineering, you need deep expertise in data architecture, large-scale data systems, and team leadership, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or Google Cloud), big data technologies (such as Hadoop, Spark), and relevant certifications (e.g., AWS Certified Data Analytics) is highly valued. Strategic thinking, strong communication, and the ability to mentor and motivate teams are crucial soft skills for success in this executive role. These skills and qualities are essential to drive data strategy, ensure robust system performance, and align engineering efforts with business objectives.

What are some common challenges faced by a Vice President of Data Engineering, and how can they be addressed?

A Vice President of Data Engineering often deals with challenges such as aligning data strategy with business goals, managing cross-functional teams, and ensuring data quality and security at scale. Balancing rapid innovation with system reliability can also be demanding, as can integrating new technologies with legacy systems. Success in this role typically involves strong communication with stakeholders, fostering a culture of collaboration, and investing in ongoing staff development to keep pace with evolving data landscapes.
What are the most commonly searched types of Data Engineering jobs in Raleigh, NC? The most popular types of Data Engineering jobs in Raleigh, NC are:
What are popular job titles related to Vice President Data Engineering jobs in Raleigh, NC? For Vice President Data Engineering jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Vice President Data Engineering jobs in Raleigh, NC look for? The top searched job categories for Vice President Data Engineering jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Vice President Data Engineering jobs? Cities near Raleigh, NC with the most Vice President Data Engineering job openings:
Vice President, Data Architecture

Vice President, Data Architecture

Fidelity Investments

Durham, NC

$61.50 - $79.25/hr

Full-time

Medical, Retirement, PTO

Posted 17 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

17th of 148 rated financial services


Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.


The Role

Fidelity is actively seeking an experienced architect to lead a team of data architects in the Asset Management Technology's architecture team. At Fidelity, architects are leaders in technology playing a significant role in driving all aspects of technology planning and execution. Fidelity's Asset Management Technology group is seeking a visionary leader to helm our data architecture practice, guiding technical strategy across Research, Portfolio Management, and Trading functions supporting $7 trillion in assets. You will set the architectural direction for AI-ready platforms, establish governance frameworks that enable consistent excellence, and build a high-performing team of architects positioned to tackle the most consequential data challenges in financial services.

  • Define and evangelize data architecture strategy across Asset Management Technology, establishing technical direction that aligns with business objectives and drives competitive advantage while balancing innovation with operational excellence.
  • Lead architecture governance and standards for data platforms, establishing design patterns, best practices, and guardrails that enable teams to deliver consistent, scalable solutions while maintaining architectural coherence across the organization. Position data platforms to be AI-ready with appropriate semantic and data access layers.
  • Drive cross-functional data initiatives as a senior technical leader, partnering with product management, engineering leadership, and business stakeholders to translate complex business requirements into actionable architectural roadmaps and delivery plans.
  • Build and develop high-performing data architecture teams through hiring, onboarding, career development, and succession planning-creating clear growth paths from mid-level to senior architect roles and fostering a culture of technical excellence and continuous learning.
  • Architect and deliver high-impact solutions for the most complex and critical data challenges, leading by example through hands-on design, prototyping, and code contributions that set quality standards and demonstrate technical excellence to the team.
  • Design and optimize enterprise-scale data platforms encompassing ETL/ELT pipelines, data access layers, and polyglot persistence strategies for transactional, operational, and analytical workloads using modern cloud-native patterns and Fidelity-preferred technology stacks.
  • Establish reference architectures and accelerators that encode proven patterns for common use cases, reducing time to market for teams while ensuring consistency in security, observability, performance, and operational resilience.
  • Lead technical deep dives and design reviews for critical initiatives, providing architecture expertise that unblocks teams, validates approaches, and ensures solutions meet non-functional requirements, including scalability, security, compliance, and maintainability.

The Expertise and Skills You Bring

  • Bachelor's degree in Computer Science, Information Technology, or a related technical field required; master's degree or MBA preferred. Advanced degrees or certifications in Data Science, Machine Learning, or Systems Engineering add differentiation.
  • 5 years leading, mentoring, and developing technical teams, with experience building teams from the ground up or transforming underperforming teams into high-performing organizations, demonstrated through successful hiring, strong retention, and career progression of team members to senior or principal roles.
  • Proven ability to mentor and develop architects and senior engineers, with a track record of growing individuals from mid-level to staff or principal levels through coaching, design review feedback, exposure to complex problems, and advocacy for career advancement.
  • Executive-level communication skills, with the ability to present to senior audiences, translate complex technical concepts into business language, articulate risk and reward trade-offs, and build consensus among stakeholders with competing priorities.
  • Expert-level proficiency in SQL, PL/SQL, and modern data programming languages, including Python, Scala, and Java, with the ability to review code, conduct technical interviews, and contribute to critical implementations when needed while maintaining technical credibility through periodic hands-on work on complex problems.
  • Deep experience with modern data engineering toolchains, including Spark, Kafka, Airflow, dbt, Snowflake, Databricks, and cloud-native services such as AWS Glue, Lambda, Step Functions, and Kinesis, with an understanding of their operational characteristics, failure modes, and cost implications at enterprise scale.
  • Expertise in DataOps and continuous delivery practices for data platforms, including infrastructure as code using Terraform or CloudFormation, CI/CD pipelines for data workflows, automated testing strategies for data quality, schema validation, and lineage, and observability instrumentation.

The Team

Fidelity's Asset Management Technology group supports the investment management business. The Architecture team provides the technical vision and leadership for key initiatives and helps deliver complex, critical solutions across Research, Portfolio Management, and Trading functions. Come join us in driving the technology and success of a world-class technology team.

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.

The base salary range for this position is $140,000-285,000 USD per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

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.

Certifications:Category:Information Technology

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