Senior Analytics Engineer responsible for managing data architecture at Grafana Labs. Collaborates with stakeholders to optimize data processes in a remote-first environment.
Responsibilities
Own, operate, and maintain the architecture and infrastructure of our data stack (e.g. BigQuery, dbt, Fivetran)
Ensure that the data we need to understand and serve our stakeholders is available, accurate, and accessible
Partner with GTM, Self-Serve, Marketing, Finance, and BizApps (and other stakeholders) to understand their data needs and identify places where the analytics stack can improve on what they’re doing
Become the go-to expert on our data pipeline, data tools, and what our data means
Create data processes and standard operating procedures that leverage AI agent skills and rules
Create and own best practices for version control, documentation, testing, and other data-related areas
Requirements
3-5 years experience contributing to data modeling
Experience with dbt
Experience working with a wide variety of peers and stakeholders, from business users to analysts to data engineers
Experience creating and maintaining data quality tests and logic tests (e.g. unit tests)
Established track record enabling stakeholders to use data by various means such as documentation, training, and cataloging
A passion for understanding business questions and making data driven insights. Excellent analytical skills
An understanding of coding agents & agentic coding practices and patterns
Experience working in cloud environments such as AWS or GCP is a plus!
Familiarity with the monitoring, observability, log aggregation, or APM market is a plus!
Strong analytical, data processing, and problem-solving skills
Exceptional attention to detail
Strong verbal and written communications skills with the ability to effectively communicate with all levels of employees and provide support globally
Experience implementing best practices for analytics, dashboarding, documentation, and testing
Experience building collaboration and rapport within an organization with both technical and non-technical members
Experience working in a “remote first” environment
Empathetic, understanding, and humble
Strong work ethic
Experience working well in both a team environment and independently
Inquisitive demeanor with willingness to learn new technologies and responsibilities
Benefits
100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication – Expect open decision-making and regular company-wide updates.
Innovation-Driven – Autonomy and support to ship great work and try new things.
Open Source Roots – Built on community-driven values that shape how we work.
Empowered Teams – High trust, low ego culture that values outcomes over optics.
Career Growth Pathways – Defined opportunities to grow and develop your career.
Approachable Leadership – Transparent execs who are involved, visible, and human.
Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
Staff Software Engineer focused on developing Affirm’s Lakehouse Platform with technologies like Apache Iceberg and Snowflake. Leading technical strategies and collaborative efforts across various teams.
Senior Software Engineer focusing on building, operating, and extending systems for Affirm's data infrastructure. Responsible for core platform reliability and data access across teams.
Senior Backend Engineer guiding the design and development of a unified data collection platform for GitLab. Building and maintaining systems to provide insights into customer usage patterns across GitLab's services.
Data & Analytics Engineer at Prophix building a data platform on Snowflake. Collaborating with finance teams and engineering data architectures for analytics and AI capabilities.
Analytics Engineer for Narvar focused on building data infrastructure and enabling internal analytics. Collaborating with stakeholders to deliver metrics, models, and self - serve analytics solutions.
Analytics Engineer developing data environments using modern technologies for clients at Cuesta Partners. Collaborating on solutions and supporting data - driven business decisions.
Lead Analytics Engineer leading technical initiatives in a financial technology company focused on AI - ready data insights. Collaborating across teams to enhance the data ecosystem while mentoring engineers.
Senior Analytics Engineer at Forward Financing designing and optimizing data architecture and models. Collaborating with cross - functional teams to deliver AI - ready data insights.
Manager of Analytics Engineering at fintech company optimizing data infrastructure for trusted AI insights. Overseeing a team to build centralized data foundation and support various business functions.