Senior Staff Software Engineer

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    "ExternalDescriptionStr": "<div style=\"border-bottom:1pt solid #1f4e79;border-left-style:none;border-right-style:none;border-top-style:none;padding:0in 0in 4pt\">\n <strong>About the Role</strong>\n</div>\n<p>IAA is seeking a Senior Staff Data Engineer to be a senior individual contributor and technical leader within our data engineering function. This is a hands-on, deeply technical role for an engineer who designs and builds complex, business-critical components of IAA’s data platform, drives architectural decisions within their area, and raises the engineering bar across the team.</p>\n<p>The Senior Staff Data Engineer owns the design and delivery of major systems and data products, partners with the Director on platform-wide architecture and standards, and leads execution on significant, often ambiguous initiatives. This person leads through technical depth, strong execution, and influence rather than headcount, acting as a multiplier for the engineers around them.</p>\n<p>This role partners closely with engineering leadership, data scientists, BI developers, platform/infrastructure teams, and business stakeholders across Operations, Sales, Marketing, and Product.</p>\n<div style=\"border-bottom:1pt solid #1f4e79;border-left-style:none;border-right-style:none;border-top-style:none;padding:0in 0in 4pt\">\n <strong>What You’ll Do</strong>\n</div>\n<ul>\n <li>Design and build major data systems, pipelines, frameworks, and reusable components, owning architecture within your area and contributing to platform-wide design alongside the Director Data Engineering.</li>\n <li>Personally deliver complex, high-impact data engineering work on IAA’s Azure data and analytics stack — ingestion, transformation, storage, semantic modeling, and data delivery.</li>\n <li>Apply and help refine engineering standards and patterns across code quality, performance, scalability, observability, and governance, and drive their adoption through example and code/design review.</li>\n <li>Build robust pipelines, semantic models, and data products that power dashboards, self-service analytics, forecasting, and downstream machine learning systems.</li>\n <li>Build the production-grade data pipelines and feature/data infrastructure that data scientists rely on to train, serve, and operationalize models.</li>\n <li>Diagnose and resolve difficult performance, reliability, and scalability challenges across BI and data workloads (e.g., Power BI, Synapse, Fabric).</li>\n <li>Contribute to technical strategy across Microsoft Fabric, Synapse, Power BI, and broader Azure BI technologies, helping evaluate new tools and inform build/buy decisions.</li>\n <li>Mentor data engineers and analytics engineers, conducting design reviews and helping elevate the technical capability of the team.</li>\n <li>Serve as a technical partner to engineering leadership on data architecture and technical tradeoffs within your scope.</li>\n <li>Translate complex business problems into practical, scalable, and well-architected data solutions.</li>\n</ul>\n<div style=\"border-bottom:1pt solid #1f4e79;border-left-style:none;border-right-style:none;border-top-style:none;padding:0in 0in 4pt\">\n <strong>What We’re Looking For</strong>\n</div>\n<ul>\n <li>Extensive hands-on experience as a senior or staff-level data engineer, with a track record of designing and delivering production data systems at scale.</li>\n <li>Deep expertise across the Azure BI / data technology stack, including:\n  <ul>\n   <li>Microsoft Fabric</li>\n   <li>Azure Synapse Analytics</li>\n   <li>Power BI and semantic modeling</li>\n   <li>Broader Azure data and analytics services</li>\n  </ul></li>\n <li>Strong command of data engineering architecture, modern analytics platforms, dimensional and semantic modeling, and scalable, fault-tolerant pipelines.</li>\n <li>Expert-level proficiency in Python and SQL, with strong software engineering fundamentals (testing, version control, CI/CD, modular design).</li>\n <li>Working understanding of how data scientists consume data, enough to build the pipelines and feature/data infrastructure that support model training and serving.</li>\n <li>Demonstrated ability to solve ambiguous, complex problems through robust technical design and pragmatic execution.</li>\n <li>Strong mentoring and influence skills — able to elevate engineering practices and lead technically within a team.</li>\n <li>Excellent communication skills; able to explain complex technical concepts and tradeoffs to both technical and non-technical partners across Ops, Business, Sales, Marketing, Product, and Engineering.</li>\n <li>Ability to thrive in a fast-paced, high-visibility environment with multiple priorities and stakeholders.</li>\n</ul>\n<div style=\"border-bottom:1pt solid #1f4e79;border-left-style:none;border-right-style:none;border-top-style:none;padding:0in 0in 4pt\">\n <strong>Preferred Experience</strong>\n</div>\n<ul>\n <li>Experience building data platforms supporting enterprise use cases across operations, commercial functions, and product-driven organizations.</li>\n <li>Experience spanning both BI modernization and data platform enablement for analytics and ML within the same platform.</li>\n <li>Familiarity with cloud-native engineering practices, infrastructure-as-code, and secure, scalable data environments.</li>\n <li>Experience contributing to platform-wide standards and reference architectures used across multiple teams.</li>\n <li>Experience building data pipelines that support RAG, LLM, or modern AI workloads on enterprise data.</li>\n</ul>\n<div style=\"border-bottom:1pt solid #1f4e79;border-left-style:none;border-right-style:none;border-top-style:none;padding:0in 0in 4pt\">\n <strong>Why This Role Matters</strong>\n</div>\n<p>The Senior Staff Data Engineer is a key technical leader within IAA’s data engineering organization. This person builds and scales the systems that enable better decisions, improved business performance, operational efficiencies, and a durable competitive advantage. Through hands-on engineering, strong design, and influence, this role directly impacts both technical direction and business outcomes across the organization.</p>",
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