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Data Stacks Jobs in Raleigh, NC (NOW HIRING)

Pendo

Director, Data & AI Platform

Raleigh, NC · On-site

Strong command of data architecture, analytics engineering, BI platforms, and modern data stacks - you can engage deeply with the technical work, not just manage it. * Experience building internal ...

Pendo

Director, Data & AI Platform

Raleigh, NC · Hybrid

Strong command of data architecture, analytics engineering, BI platforms, and modern data stacks - you can engage deeply with the technical work, not just manage it. * Experience building internal ...

Duke University

AI Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Hands-on experience with modern data stack tools such as dbt for transformations and Prefect, Airflow, or similar orchestration tools . * Solid understanding of data modeling approaches (e.g ...

Duke University

AI Data Engineer

Durham, NC · Hybrid

$110K - $132K/yr

Hands-on experience with modern data stack tools such as dbt for transformations and Prefect, Airflow, or similar orchestration tools . * Solid understanding of data modeling approaches (e.g ...

Saransh Inc

Data Center Technician

Durham, NC · On-site

Role: Data Center Technician Location: Durham, NC & Milpitas, CA (Onsite from Day 1 - Physical In ... DataCenter Operations: 2+ years Rack & Stack: 2+ years Good To have Skills: Comp TIA A - 2+ years ...

The Mutual Group

Lead IT Project Manager

Raleigh, NC · Hybrid

$140K - $170K/yr

Proactive risk/issue management: quantify exposure, drive mitigations/contingencies, and escalate with options-covering data privacy/PII, residency, and security risks in cloud data stacks.

HCL Global Systems

Full Stack Engineer

Raleigh, NC

The Role We are seeking a highly skilled Full Stack Developer to help design and build a state of the art data analytics platform within the financial services domain. In this role, you will work ...

Vulcan Elements

Data Engineer

Durham, NC

$110K - $132K/yr

Diagnose and resolve data quality issues across the stack, and build monitoring into pipelines so problems surface early Data Modeling & Quality * Define data models that support operational queries ...

Vulcan Elements

Data Engineer

Raleigh, NC

$111K - $133K/yr

Diagnose and resolve data quality issues across the stack, and build monitoring into pipelines so problems surface early Data Modeling & Quality * Define data models that support operational queries ...

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Data Stacks information

What are Data Stacks?

Data stacks refer to the combination of tools, technologies, and frameworks used to collect, store, process, and analyze data within an organization. A typical data stack might include data ingestion tools, databases, data warehouses, processing frameworks, and analytics platforms. The purpose of a data stack is to streamline the flow of data from its source to actionable insights, supporting business intelligence and decision-making. Common examples include the Modern Data Stack, which often uses tools like Fivetran, Snowflake, dbt, and Looker.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need strong skills in database design, data modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Apache Spark, Hadoop, and cloud platforms like AWS or Google Cloud, as well as certifications in these technologies, is highly valued. Problem-solving abilities, attention to detail, and effective communication are important soft skills for this role. These skills are crucial for building reliable data pipelines, ensuring data quality, and supporting data-driven decision-making within organizations.

What is the difference between Data Stacks vs Data Analysts?

AspectData StacksData Analysts
Required CredentialsBachelor's in Computer Science, Data Science, or related fields; certifications like SQL, Python, or cloud platformsBachelor's in Statistics, Mathematics, or related fields; often certifications in Excel, SQL, or data visualization tools
Work EnvironmentTechnical teams, data engineering, software development environmentsBusiness units, reporting teams, data visualization platforms
Employer & Industry UsageTech companies, data-driven organizations, startupsFinance, marketing, healthcare, consulting firms

Data Stacks focus on building and managing the underlying data infrastructure, while Data Analysts interpret data to provide insights. Both roles require analytical skills, but Data Stacks professionals are more technical, working with data pipelines and databases, whereas Data Analysts focus on analyzing data to support decision-making.

What are some common challenges faced when managing modern data stacks, and how can they be addressed in this role?

Professionals managing modern data stacks often encounter challenges such as integrating diverse data sources, ensuring data quality, and maintaining system scalability as data volumes grow. Addressing these challenges typically involves collaborating closely with data engineers, analysts, and IT teams to implement robust data pipelines, automate data validation, and monitor system performance. Staying updated with evolving technologies and best practices is also crucial for proactive problem-solving and optimizing the data stack for business needs.
Data Stacks jobs near you
Director, Data & AI Platform

Director, Data & AI Platform

Pendo

Raleigh, NC • On-site

Full-time

Retirement

Posted 22 days ago

Job description

The team + the role
Pendo runs on data and AI, and this team owns the foundation that makes both work. The Data & AI Platform team builds and maintains the trusted data infrastructure, semantic layer, BI platform, and internal AI tooling that powers every insight, automation, and AI-enabled workflow across the company. The team spans data engineering, analytics engineering, BI, and software engineering, and the edges between those disciplines are intentionally blurry. If you find that energizing rather than uncomfortable, this role was written for you.
We're looking for a Director to lead this team. You'll own the data foundation the entire company leans on, drive the AI-ready infrastructure that makes agents and automations actually work, and create the internal AI workspace where every Pendozer can find, use, and contribute without friction. This is a high-autonomy, high-accountability role with real organizational reach and a clear mandate to build ahead of the business.
This role is based in Raleigh, NC and follows Pendo's hybrid model: in-office 3 days per week.
What this looks like day-to-day
  • Lead organizational strategy and execution across the platform, establishing operating rhythms, prioritization frameworks, and delivery accountability that keep multiple workstreams moving clearly.
  • Create alignment across engineering and business stakeholders, and communicate progress and tradeoffs upward and outward with clarity.
  • Drive planning, staffing, and roadmap alignment across initiatives, partnering with senior technical leaders to translate strategy and architecture into execution.
  • Ship the near-term foundation: governed connectors, a seeded skills library, a validated AI surface, and eval infrastructure.
  • Own Pendo's internal AI platform - the workspace where every Pendozer can find, use, and contribute AI skills and workflows. This includes the skills flywheel, agent surfaces, and observability infrastructure that make it safe to scale.
  • Drive measurable business outcomes: faster time to insight, higher KPI confidence, operational efficiency, and revenue impact tied directly to the team's work.
  • Partner closely with Applied AI, Analytics, Business Systems, IT, and GTM Operations, understanding their needs well enough to build ahead of them.
  • Make informed build vs. buy decisions, including knowing when to throw work away when something better comes along.
  • Translate technical decisions into business impact, clearly and consistently, for leadership and operating stakeholders.
  • Balance scale with moving at the speed the business requires, avoiding over-engineering and knowing when good enough ships.
  • Set a clear direction while remaining open to changing course.
Who you are
Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.
You're a builder, not a maintainer.
You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great leaders don't just manage delivery - they operate as strategic owners, setting direction, influencing decisions across the org, and making the teams around them better.
You're AI-curious - genuinely.
You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything: how you evaluate new tooling, how you think about governance, how you build platforms that let others do the same. We want someone who sees AI as a multiplier, not a shortcut - and who understands what it actually takes to make AI safe and reliable at company scale.
Must-haves
  • 8+ years in data, engineering, or similar roles, with demonstrated people leadership experience across senior technical ICs.
  • Strong command of data architecture, analytics engineering, BI platforms, and modern data stacks - you can engage deeply with the technical work, not just manage it.
  • Experience building internal platforms or tooling, with an understanding of the governance and operational trust required for company-wide adoption.
  • Track record owning company-critical metrics, semantic layers, and governance frameworks - stakeholders trusted your numbers.
  • Comfort leading across blended disciplines: data engineering, analytics engineering, BI, and software engineering.
  • Excellent judgment and prioritization skills, with a clear, confident communication style that translates technical work into business outcomes.
  • Proven ability to develop senior ICs while building a high-trust, execution-oriented culture.
  • Track record creating organizational clarity across complex, multi-disciplinary teams, not just managing delivery, but shaping how the team operates.
  • Intellectual restlessness - you stay current on a fast-moving landscape and are genuinely willing to change course when the data demands it.
Nice-to-haves
  • Hands-on experience with dbt, Fivetran, BigQuery, or similar modern data stack tooling.
  • Familiarity with AI observability and evaluation tooling such as LangSmith or Gemini ADK.
  • Experience with BI platforms that include a semantic layer (Omni or similar).
  • Prior use of Claude Enterprise or similar AI platforms in an enterprise context.
  • Experience enabling self-serve analytics at scale across a non-technical user base.
About Pendo
Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.
Pendo core values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.
Location: Pendo is a hybrid culture. In-office 3 days per week unless designated remote.
Benefits: Highly competitive, employer-heavy coverage (including $0 premium options), strong 401(k) match, equity, and flexible time off.
Compensation: Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide.
The expected salary range for this role to be performed in:
- North Carolina is $187,000 - $230,000
- New York is $200,000 - $245,000
EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.
Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

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