Data Engineering Manager

Cribl Data Engineering Manager Opportunity

Cribl does differently. What does that mean? It means we are a serious company that doesn't take itself too seriously; and we're looking for people who love to get stuff done, and laugh a bit along the way. We're growing rapidly - looking for collaborative, curious, and motivated team members who are passionate about putting customers first. As a remote-first company we believe in empowering our employees to do their best work, wherever they are. As the data engine for IT and Security many of the biggest names in the most demanding industries trust Cribl to solve their most pressing data needs. Ready to do the best work of your career? Join the herd and unlock your opportunity.

Why You'll Love This Role

We are hiring a Manager, Data Engineering to lead and grow our Data Engineering function-building infrastructure that fuels analytics, enables self-service, and scales with Cribl's hyper-growth. This is a unique opportunity to shape the future of Cribl's data landscape. Reporting to the Senior Director of Data & Analytics, you will manage and mentor a high-impact team, set the direction for our modern data stack, and partner closely with Analytics, Security, and IT to deliver resilient pipelines and high-quality data products. We pride ourselves on fostering a collaborative and innovative culture where team members enjoy working together-whether remotely or over a meal at a foodie hot spot. If you're someone who thrives in an entrepreneurial environment and is eager to contribute to a company poised for legendary success in the tech industry, we want to hear from you!

As An Active Member Of Our Team, You Will...

Lead, mentor, and grow a team of data engineers, fostering a collaborative and high-performing culture

Translate high-level business goals into clear, prioritized execution plans-establishing a roadmap, allocating resources effectively, and adapting project plans as needed to ensure timely, high-quality delivery, even when inputs are unclear

Balance strategic direction with hands-on contributions in development of scalable and resilient data engineering solutions using modern cloud platforms (e.g., AWS, GCP, Azure) and tools (e.g. Snowflake,Redshift, dbt, Airflow, Prefect)

Standardize team operations (workflows, documentation, packages) and improve visibility with metrics and alerts

Collaborate regularly with cross-functional teams such as Product, Analytics, Security, IT, and external stakeholders to ensure delivery of high-quality data products

Ensure data quality, security, and governance standards across pipelines and platforms to drive operational excellence and visibility

Stay up to date with emerging technologies, trends, and best practices to drive adoption of new tools or approaches as needed

We are a remote-first company and work happens across many time-zones - you may be required to occasionally perform duties outside your standard working hours

If You've Got It - We Want It

7+ years of experience in data engineering, including 2+ years in a team-lead or management role with a positive track record of recruiting, developing, and mentoring high-performing teams

Experience with DevOps principles, monitoring, and automation for data infrastructure and deep knowledge of data modeling techniques and programing fundamentals (Python e.g).

Hands-on expertise with SQL and modern data tools (e.g., Snowflake, dbt, Spark)

Experience designing and deploying scalable ETL/ELT pipelines and schema management solutions

Deep knowledge of AWS cloud ecosystems, networking/security, common IaC tools (Terraform) and building systems for scale

Ability to provide architectural guidance (e.g., API gateways, cloud-native systems), making trade-offs to unblock critical decisions that balance engineering scalability with business vision

High degree of ownership and adaptability-proactive in identifying opportunities, driving improvements, and navigating ambiguity with strong project planning and organizational skills to anticipate risks, rework plans as needed, and successfully guide multiple initiatives simultaneously

Excellent communicator and collaborator, skilled at translating business needs into scalable technical solutions from a variety of stakeholders, from engineers to executives

Proven track record delivering end-to-end analytics solutions to support Data Science, Experimentation, and Machine Learning applications

Salary Range ($144,000 - $230,000) The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate's job-related knowledge, skills, and experience. In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.