Lead Data Engineer

About Us: We love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers. This role is open to candidates based in or near Austin, TX. Our Austin office is based in the vibrant San Jacinto Center downtown with breathtaking views of Lady Bird Lake. At LogicMonitor, we hire within our Centers of Energy—vibrant locations where our teams connect, collaborate, and innovate. To learn more about life at LogicMonitor, check out our Careers Page . What You'll Do: LogicMonitor® is the AI-first hybrid observability platform powering the next generation of digital infrastructure. LogicMonitor delivers complete visibility and actionable intelligence across on-premises, cloud, and edge environments. By anticipating issues before they strike, optimizing resources in real time, and enabling faster, smarter decisions, LogicMonitor helps IT and business leaders protect margins, accelerate innovation, and deliver exceptional digital experiences without compromise. Our customers love LogicMonitor's ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, LogicMonitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work®, and named one of BuiltIn's Best Places to Work for the seventh year in a row! The Business Intelligence and Data team transforms complex, global data into strategic assets that inform decision-making across the organization. As a Lead Data Engineer, you will operate at the intersection of architecture and business impact—shaping the data platform, accelerating innovation, and enabling data-driven outcomes at scale. In the Lead Data Engineer role, you will define and drive the technical vision for data engineering, leading the design of scalable, high-impact data platforms, pipelines, and models. You will partner closely with cross-functional stakeholders to align data strategy with business priorities, establish engineering standards, and elevate data quality and accessibility across the enterprise. Acting as a senior technical leader and hands-on architect, you will influence system design, mentor engineers, and deliver solutions that scale with evolving data and analytics needs. Here's a closer look at this key role: Define and drive the architecture of scalable, reliable data pipelines that power analytics and data products across the organization Establish and enforce engineering standards to optimize pipelines, frameworks, and data systems for performance, cost efficiency, and developer velocity Lead the design of data models and transformation layers that convert raw, disparate data into trusted, high-quality, and reusable datasets Own complex data integration challenges, setting patterns and best practices to ensure consistency, scalability, and resilience across systems Architect and evolve the organization’s data compute and storage platforms, balancing performance, scalability, and cost at enterprise scale Set strategy and governance for data security, privacy, and compliance, partnering with security teams to proactively mitigate risk Define and maintain enterprise data architecture standards, documentation, and reference models to guide long-term platform evolution Strategic Leadership Own the long-term strategy and roadmap for the data technology stack (e.g., Snowflake, dbt), aligning platform capabilities with business and product objectives Identify systemic gaps across infrastructure, tooling, and team processes; drive c ... (truncated, view full listing at source)