Principal Data Engineer

<div class="content-intro"><p>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.</p></div><p><strong>What you’ll do</strong></p> <ul> <li>Lead the design and build-out of cross-product data services for multiple product lines from one governed data plane.</li> <li>Define the “customer data plane” model: canonical customer identifiers, shared dimensions, and consistent facts used across products.</li> <li>Build and operationalize ingestion patterns for batch, streaming, and event data, with repeatable onboarding for new sources.</li> <li>Own the operational playbook for data reliability: data contracts, quality checks, lineage, monitoring, and incident response.</li> <li>Implement and run access methods that make data usable: curated datasets, secure query interfaces, and product-ready data APIs where needed.</li> <li>Productize customer-facing data products (datasets, metrics, exports, and feeds) with versioning, documentation, and clear ownership.</li> <li>Design data models that fit both operational systems (RDS) and analytics stores (columnar/OLAP), including performance and cost tuning.</li> <li>Ensure data products also power ML workflows: trusted training datasets, feature-ready outputs, and consistent definitions for decision-making.</li> <li>Enable AI automation by delivering