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Data Leader Jobs in Raleigh, NC (NOW HIRING)

The Director, Data Sciences is responsible for leading a team of data scientists and developing strategies for data-driven decision making, while overseeing advanced research and the implementation ...

Company Description Established in 1991, Collabera has been a leader in IT staffing for over 22 ... Data Analyst Minimum Requirements: Proficient in Microsoft Office applications; Outlook, Excel ...

Lead Data Engineer

Raleigh, NC

$111K - $133K/yr

... leading support. Backed by   over 25 years of experience and approximately $7.0 ... The Data Engineer will serve as a liaison to platform user groups ensuring successful ...

Responsibilities : • Strategic Leadership: Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities. • Team Management:

Lead Data Engineer

Raleigh, NC

$111K - $133K/yr

Leads the implementation of tools and frameworks for automating the identification of data quality issues. * Understands the challenges that the Technology organization faces in their day-to-day work ...

Data Engineer

Cary, NC · On-site

$116K - $140K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... As an employee-owned company, our employees support our flat leadership structure, have a say in ...

Data Engineer

Chapel Hill, NC · On-site

$115K - $145K/yr

Data Engineer Reporting To: Manager, Data Engineering Location: Chapel Hill, NC; Minneapolis, MN ... Achieve operational excellence in software development by participating in and leading code reviews ...

Data Engineer

Cary, NC

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... As an employee-owned company, our employees support our flat leadership structure, have a say in ...

As a senior technical leader, you will drive the end-to-end development, enhancement, maintenance ... Use data and statistical analysis to drive business decisions and target improved results across ...

New

Data Governance- Manager

Raleigh, NC · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You ...

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... As an employee-owned company, our employees support our flat leadership structure, have a say in ...

As a senior technical leader, you will drive the end-to-end development, enhancement, maintenance ... Use data and statistical analysis to drive business decisions and target improved results across ...

New

This leadership role lives within the Digital Operations organization with responsibility for building and shaping the data science capability from the ground up as McGough continues to scale its ...

This leadership role lives within the Digital Operations organization with responsibility for building and shaping the data science capability from the ground up as McGough continues to scale its ...

Showing results 21-40

Data Leader information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do data leader jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data leader in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 per year, depending on experience, location, and employer.

What is a data leader?

A Data Leader is a senior professional responsible for developing and implementing an organization’s data strategy, ensuring that data assets are effectively managed and leveraged to drive business value. They oversee data governance, data quality, analytics initiatives, and often manage teams of data scientists, engineers, and analysts. Data Leaders play a key role in shaping data-driven decision-making, aligning data projects with business objectives, and ensuring compliance with data regulations. Their work helps organizations unlock insights from data, improve operations, and gain a competitive advantage.

What are the key skills and qualifications needed to thrive as a data leader?

To thrive as a Data Leader, you need expertise in data analytics, data management, and strategy, often backed by an advanced degree in a quantitative field and experience in data-centric roles. Familiarity with tools like SQL, Python, data visualization platforms (e.g., Tableau, Power BI), and cloud data systems is typically required. Strong leadership, communication, and stakeholder management skills help drive organizational alignment and data-driven decision-making. These competencies are crucial for shaping effective data strategies, ensuring data quality, and delivering business value through insights.

How do data leaders typically balance strategic oversight with hands-on involvement in data projects?

Data Leaders often face the challenge of balancing high-level strategy with direct involvement in data initiatives. While their primary responsibility is to set the vision for data governance, analytics, and architecture, they also need to stay engaged with teams to ensure alignment and remove obstacles. This often means participating in key project meetings, reviewing major deliverables, and facilitating communication between technical and business stakeholders. Effective Data Leaders delegate operational tasks but remain accessible for critical decision-making and mentorship, fostering both team autonomy and strategic coherence.

What is the difference between Data Leader vs Data Analyst?

AspectData Leader
ResponsibilitiesStrategic data management, setting data vision, leading data teams
Skills & CertificationsData strategy, leadership, advanced analytics, often with certifications like CDMP or DAMA
Work EnvironmentExecutive-level, cross-departmental collaboration, senior management
FocusHigh-level data governance, business impact, long-term data strategy

While a Data Leader focuses on strategic oversight, governance, and leading data initiatives at an organizational level, a Data Analyst primarily handles data analysis, reporting, and supporting decision-making through data insights. Both roles require strong analytical skills, but the Data Leader emphasizes leadership and strategy, whereas the Data Analyst concentrates on technical analysis and data interpretation.

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

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

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

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

Infographic showing various Data Leader job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $160,411 per year, or $77.1 per hour.

Principal Data Modeler

Habitat For Humanity Of Durham

Durham, NC • On-site

$90 - $130/hr

Other

Medical, Life

This job post has expired today. Applications are no longer accepted.


Job description

Principal Data Modeler Location
  • Durham, NC
Team
  • Technology
Experience Level

Senior Manager

Onsite

Job Description

Position Description:

Develops conceptual, logical, and physical data models that align with business domains and enterprise architecture. Maintains consistent application of data standards, naming conventions, and modeling best practices across all projects. Builds structured and organized representations of data, which serve as a blueprint for efficient data storage and retrieval, using data modeling tools -- SAP Power Designer and ERWIN. Creates and delivers data mapping specifications and data models for large reporting platforms, using Oracle, Hadoop, Postgres, and Microsoft SQL Server. Creates new data models and software structures to detail the flow of data from origination to consumption, using data platforms -- Oracle, Snowflake, Hadoop, Postgres, and Microsoft SQL Server, by applying data design patterns -- Online Transaction Processing (OLTP) recordkeeping, Operational Data Stores (ODS), Master Data Management (MDM), warehousing, and data lakes. Creates and delivers data lake solutions and data warehouses using database technologies Snowflake on Amazon Web Services (AWS). Performs database querying by leveraging SQL.

Primary Responsibilities

  • Collaborates with solution architects, data engineers, and business stakeholders to design models that support scalability, interoperability, and compliance.
  • Defines and leads enterprise-level data strategy and analytics initiatives.
  • Maintains technical requirements in a multi-platform and highly integrated data environment using dimensional, relational, and unstructured modeling strategies.
  • Designs data validation procedures, Extract, Transform, Load (ETL) development, and data modeling and mapping documentation.
  • Discovers, designs, and delivers database design solutions for key business partners.
  • Develops and implements advanced data solutions to support analytics and reporting capabilities.
  • Confers with systems analysts and other software engineers and developers to design systems and to obtain information on project limitations and capabilities, performance requirements, and interfaces.
  • Performs analysis in the form of research, gap analysis, data mining, and data profiling.
  • Collaborates and influences across all levels of the organization, including written, verbal, and technology illustrations.
  • Advises senior leadership on data infrastructure and technology solutions.
  • Provides guidance to junior data modelers.
  • Performs independent and complex technical and functional analysis for multiple divisional initiatives.
  • Develops innovative solutions to support scalable, secure, and high-performance data environments.

Education and Experience:

Bachelor’s degree in Computer Science, Engineering, Information Technology, Cybersecurity, Information Systems, Data Analytics, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Data Modeler (or closely related occupation) performing relational data modeling and analysis on relational databases using SQL in a financial services environment.

Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Cybersecurity, Information Systems, Data Analytics, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Data Modeler (or closely related occupation) performing relational data modeling and analysis on relational databases using SQL in a financial services environment.

Skills and Knowledge:

Candidate must also possess:

  • Demonstrated Expertise (“DE”) designing complex relational databases using data modeling techniques to create conceptual, logical, and physical models according to standards, taxonomy, and best practices.
  • DE generating Data Definition Language (DDL) scripts (forward-engineer) and Data Manipulation Language (DML) scripts to create and update physical databases; and performing reverse-engineering of system databases to create additional external tables and columns to gather data requirements from the source databases.
  • DE building source-to-target mapping documents, profiling, mining, specifying, extracting, cleansing, and analyzing large data warehouses, using SQL Developer, Toad, and Python; generating insights for business and end users using SQL reports; writing SQL queries and views against the database (SQL Server and Oracle) and generating reports; and modifying existing SQL queries to improve query performance.
  • DE conducting root cause analysis using SQL queries for business requests; collaborating with business groups to understand application requirements; coordinating with enterprise cross-functional and non-technical teams, preparing functional specifications, and translating them into technical solutions; building ad hoc tables and reports for required use cases; and analyzing and interpreting data flowing from multiple work streams.

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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.

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.

Benefits that balance life and work

From our fully paid parent leave to our on-site health and wellness centers, our benefits support the belief that more balance you have, the better you can achieve your goals.

Reasonable accommodations

Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation contact the HR Accommodation Team by sending an email to accommodations@fmr.com, or by calling 800-835-5099, prompt 2, option 3.

Equal opportunity employer

Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop, and retain a diverse workforce is to build an enduring culture of inclusion and belonging.

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