Lead Data Engineer, LogicMonitor
$136.5-180.6k
More information about location
Hybrid observability powered by AI
Be an early applicant
Hybrid observability powered by AI
1001+ employees
Be an early applicant
$136.5-180.6k
More information about location
1001+ employees
Company mission
To expand what’s possible for businesses by advancing their technology.
Role
Who you are
- 6+ years extensive experience designing and scaling data platforms, pipelines, and models in distributed environments
- Expert in SQL and Python, driving engineering standards, performance optimization, and best practices
- Proven ownership of modern data stack architecture (e.g., Airflow, Snowflake, dbt), including orchestration, transformation, and governance
- Strong expertise in cloud-based data systems with a focus on scalability, reliability, and cost efficiency
- Experience enabling AI/ML use cases and building data foundations for advanced analytics
What the job involves
- 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
- 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
- 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 cross-functional initiatives to resolve root causes and improve engineering effectiveness
- Translate business priorities into scalable data platform capabilities, shaping and enabling high-impact data products and workflows
- Serve as the senior technical point of contact for data platform vendors, influencing roadmaps, driving feature adoption, and reducing friction for internal stakeholders
Application process
- Anticipated Application Close Date: 05/11/26
Our take
As businesses shift from reactive to proactive monitoring, there is a need for tools which empower them to make predictions and solve problems before they start. This is what LogicMonitor supplies, through an observability platform for hybrid environments.
The company's extensive product suite encompasses monitoring of all sorts, including but not limited to networks, virtual machines, databases, containers and SaaS. Each service supplies real-time insights and automated monitoring, complete with agentless architecture.
LogicMonitor is held in high regard by the industry, evidenced by its namechecking in the Visionary quadrant of the Gartner Magic Quadrant 2024. It has also seen significant funding, which will support further development and growth for the business.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Nov 2024
$400m
GROWTH EQUITY VC
Jun 2016
$130m
GROWTH EQUITY VC
Total funding: $543m
Company HQ
Santa Barbara Downtown, Santa Barbara, CA
Leadership
Board Member at Rapid7 and Founding LP at Operator Collective. Was also a Board Member at Poema Global, and CCO, VP and Global Head of Customer Success at Slack.
Salary benchmarks
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