---
title: 'Principal Data Engineer at Black Duck Software, Inc.'
canonical: 'https://feeny.ai/job/principal-data-engineer-black-duck-software-inc-belfast-hzzsamxxsds8'
type: 'job'
last_seen: '2026-10-17'
---

# Principal Data Engineer at Black Duck Software, Inc.

- **Company:** Black Duck Software, Inc.
- **Location:** Belfast, United Kingdom
- **Posted:** 2026-04-07
- **Last confirmed live:** 2026-10-17
- **Apply:** https://job-boards.greenhouse.io/blackduck/jobs/5169725008

## Job description

Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open source components, and application behavior. With a combination of industry-leading tools, services, and expertise, only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle.

## What you’ll do

- Lead the design and build-out of cross-product data services for multiple product lines from one governed data plane.
- Define the “customer data plane” model: canonical customer identifiers, shared dimensions, and consistent facts used across products.
- Build and operationalize ingestion patterns for batch, streaming, and event data, with repeatable onboarding for new sources.
- Own the operational playbook for data reliability: data contracts, quality checks, lineage, monitoring, and incident response.
- Implement and run access methods that make data usable: curated datasets, secure query interfaces, and product-ready data APIs where needed.
- Productize customer-facing data products (datasets, metrics, exports, and feeds) with versioning, documentation, and clear ownership.
- Design data models that fit both operational systems (RDS) and analytics stores (columnar/OLAP), including performance and cost tuning.
- Ensure data products also power ML workflows: trusted training datasets, feature-ready outputs, and consistent definitions for decision-making.
- Enable AI automation by delivering reliable, low-latency, governed data products that can be used safely in automated workflows.
- Partner closely with product, engineering, and security stakeholders to align data products to roadmap priorities and customer outcomes.
- Raise the technical bar through architecture reviews, standards, and mentoring—while staying hands-on in key systems.

Required

- Significant experience building and operating production data platforms at scale, including on-call and operational ownership.
- Strong SQL skills and strong Python skills, used to build pipelines, services, and automation.
- Hands-on experience running cloud systems on AWS and Google Cloud (IaaS level: compute, storage, networking, IAM).
- Practical experience with both operational databases (RDS-style) and analytics stores (columnar/OLAP), including performance tuning.
- Strong data modeling ability, including schema evolution, conformed dimensions, and “one source of truth” metric definitions.
- Track record of delivering data products that other teams or customers depend on, with clear contracts and reliability expectations.
- Ability to make sound engineering tradeoffs across latency, accuracy, cost, and security without creating brittle complexity.
- Experience with lakehouse patterns and open table formats (or similar), including governance and table maintenance.
- Experience with orchestration and streaming systems used in production (batch + real-time), and managing backfills safely.
- Familiarity with ML data needs (training/serving splits, feature-ready datasets, evaluation datasets) and AI-adjacent workflows.

## Preferred

- Experience building self-service data platforms (catalog, discoverability, access controls) used by multiple teams.
- Experience in regulated or security-sensitive environments, including retention, auditing, and data access controls.

Work model, location & travel

- Location: Belfast, UK
- Reports to: VP of Data Engineering
- Work model: Hybrid (details TBD)
- Collaboration hours: Flexible; overlap with UK and US time zones
- Travel: Minimal

Black Duck is an equal opportunity employer. We consider all applicants for employment without regard to race, color, national origin, religion, sex, gender identity or expression, age, disability, sexual orientation, veteran or military service status, or any other characteristic protected by applicable law. Black Duck complies with all applicable laws prohibiting employment discrimination in every jurisdiction where it operates and provides reasonable accommodations to individuals with disabilities in accordance with applicable law.

## About Black Duck Software, Inc.

## Company Overview
- **One-liner**: Black Duck provides a comprehensive application security testing (AST) platform that helps organizations build secure, high-quality software by identifying and remediating vulnerabilities, license risks, and code quality issues across proprietary, open-source, and AI-generated code.
- **Entity Type**: Private (backed by private equity firms Clearlake Capital and Francisco Partners; spun out from Synopsys in October 2024)
- **Headquarters**: Burlington, Massachusetts, USA
- **Founded**: 2015 (as the Synopsys Software Integrity Group); became an independent company in October 2024
- **Founders**: Not applicable (formed from Synopsys); key leadership includes CEO Greg Hughes, CPTO Dipto Chakravarty, CISO Dom Glavach, CRO Roman Telerman, CFO Jim Ivers, CMO Sean Forkan, and CHRO & General Counsel Joy Meier

## Core Business
- **Primary industry**: Application Security Testing (AST), DevSecOps, Software Supply Chain Security
- **Target customers**: B2B; enterprise organizations, development teams, security teams, and DevOps engineers across industries including finance, healthcare, automotive, aerospace, and government
- **Mission or purpose statement**: “To enable organizations to build trust in their software by providing True Scale Application Security – the ability to secure code of any size, in any environment, without compromising speed, accuracy, or compliance.”

## Products & Services
- **Black Duck Polaris Platform**: Cloud-native SaaS platform that unifies SAST, SCA, and DAST into a single, integrated solution for enterprise-wide application security testing and policy enforcement.
- **Black Duck SCA (Software Composition Analysis)**: Identifies vulnerabilities, license risks, and compliance issues in open-source and third-party components; generates SBOMs; includes AI Model Risk Insights.
- **Coverity Static Analysis (SAST)**: Scans proprietary source code for security vulnerabilities and quality defects, with AI-powered remediation suggestions via Black Duck Assist.
- **Seeker Interactive Application Security Testing (IAST)**: Combines runtime analysis with automated testing to detect vulnerabilities in running applications.
- **Black Duck Signal**: Agentic AI solution that autonomously detects and remediates vulnerabilities in business-critical applications, including AI-generated code.
- **Code Sight IDE Plug-in**: Provides real-time security feedback within developers’ IDEs (VS Code, JetBrains, etc.) to catch issues before code is committed.
- **Black Duck Hub (on-premises)**: On-premises deployment option for customers with strict data residency or regulatory requirements.
- **Hybrid deployment**: Full flexibility to run scans in cloud, on-premises, or across mixed environments.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private equity-backed)
- **Key Metric**: Over 4,000 organizations worldwide trust Black Duck; recognized as a Leader in the Gartner® Magic Quadrant™ for Application Security Testing for eight consecutive years (2025).
- **Notable Investors/Partners**: Clearlake Capital Group, Francisco Partners (majority owners); technology partners include GitHub, GitLab, Jenkins, Azure DevOps, and major cloud providers.
- **Growth Signals**: Spun out as an independent company in October 2024 to focus exclusively on application security; launched Black Duck Signal (agentic AI AppSec); expanding SaaS platform with unified SAST+SCA+DAST; hiring across sales and engineering roles (remote positions available).

## Competitive Advantages
- **Comprehensive portfolio**: Only vendor offering SAST, SCA, DAST, IAST, and agentic AI in a single unified platform (Polaris).
- **20+ years of human-verified intelligence**: Proprietary KnowledgeBase™ with curated vulnerability data and context, powering high-precision detection with low false positives.
- **Flexible deployment**: Supports cloud (SaaS), on-premises, and hybrid models – customers choose without compromising capabilities.
- **Developer-first approach**: Integrates directly into CI/CD pipelines and IDEs, enabling developers to find and fix issues within their workflow.
- **AI-native security**: Built to secure AI-generated code (e.g., from GitHub Copilot, ChatGPT) with specialized detection and remediation capabilities.
- **Regulatory expertise**: Supports compliance with ISO 27001, GDPR, HIPAA, PCI DSS, FedRAMP, EU Cyber Resilience Act, US Executive Order 14028, and industry-specific standards (automotive ISO/SAE 21434, aerospace, defense).

## Strategic Focus
- **Securing AI-generated code**: Developing and enhancing agentic AI tools (Signal) to address the unique risks of AI-assisted development.
- **Expanding SaaS adoption**: Driving migration to the Polaris cloud platform for scalability, continuous updates, and reduced overhead.
- **Deepening compliance automation**: Building automated policy enforcement and audit-ready reporting for evolving regulations (e.g., EU Cyber Resilience Act, US supply chain security mandates).
- **Growing market share**: Targeting new enterprise customers through a hunter sales model and competitive displacement of legacy AST vendors.
- **Customer success and innovation**: Investing in AI-powered developer assistants (Black Duck Assist) and contextual intelligence (ContextAI™) to reduce mean-time-to-remediate.

## Why Work Here
- **Mission-driven impact**: Work on critical security infrastructure that protects software used by thousands of organizations worldwide.
- **Remote-friendly culture**: Open roles (e.g., Lead Enterprise Account Executive in Canada) explicitly support remote work; the company values flexibility and results.
- **Values**: “We Scale Up” (ambition and growth), “We Lead with Integrity” (honesty and transparency), “We Put Customers First” (empathy and value delivery), and “We Are Bold” (challenge convention, take smart risks).
- **Engineering culture**: Developer-first mindset; teams build tools that developers love to use. Focus on innovation in AI, cloud-native architecture, and security research.
- **Career growth**: Independent company with PE backing offers agility and resources; opportunity to shape the future of a market-leading security platform.
- **Notable perks**: Not explicitly listed, but the company emphasizes professional development, a collaborative environment, and the chance to work on cutting-edge security challenges.

## Sources
1. [Black Duck About Us](https://www.blackduck.com/company.html)
2. [Black Duck Main Site](https://www.blackduck.com/)
3. [Black Duck Careers](https://www.blackduck.com/company/careers.html)
4. [Black Duck Leadership](https://www.blackduck.com/company/leadership.html)
5. [Greenhouse Job Posting (Lead Enterprise Account Executive Canada)](https://job-boards.greenhouse.io/blackduck/jobs/5226170008)

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