5-7 years of hands-on technical experience in data analytics and engineering.
Strong proficiency in SQL and coding, with the ability to demo live without a script.
Fluency in multidimensional and OLAP-style data modeling concepts.
Understanding of AI systems and their interaction with enterprise data.
Proven public speaking and teaching experience, including published writing and conference presentations.
Ability to thrive in fast-paced environments and adapt to shifting priorities.
Bonus: Experience with semantic modeling languages and major BI tools.
Responsibilities
Publish authoritative technical content, including blogs and tutorials, tailored for BI and Analytics Engineers.
Lead community engagement across platforms like GitHub and Slack, and present at industry conferences.
Champion developer experience by identifying friction points and enhancing the developer hub.
Channel insights from the field into Product and Engineering roadmaps.
Host technical livestreams and contribute to open-source projects.
Benefits
Unlimited PTO and comprehensive benefits.
Competitive salary and equity options.
Opportunity to influence the future of AI-ready analytics.
Full Job Description
The Impact You'll Make
In this role, you will:
Publish Durable Technical Content: Create and ship authoritative technical content under your own byline-including blogs, tutorials, teardowns, quickstarts, sample repositories, and the SML pattern library-tailored for both GUI-native BI Engineers and code-native Analytics Engineers.
Lead Community Activation & Industry Presence: Serve as the active, technical voice across developer watering holes (GitHub Discussions, dbt Slack, Reddit, LinkedIn); deliver conference presentations at events like Snowflake Summit, Databricks DAIS, and dbt Coalesce; host technical livestreams; and contribute to open-source working groups like Apache Ossie (incubating).
Champion Developer Experience & Product Feedback: Approach the platform through the lens of a new practitioner to identify friction points, keep the developer hub populated with frictionless entry points, and channel field insights directly into the Product and Engineering roadmaps.
Why You'll Love It Here
Ownership & Autonomy: You thrive as an individual contributor, owning your outcomes and driving real change.
Innovation-First: Work at the intersection of AI and data at a company hitting its next major inflection point.
Culture of Trust: Enjoy a flexible, remote-friendly environment built on transparency and professional growth.
Who You Are
You bring strong hands-on technical depth: you read code, build working integrations, write SQL with ease, and demo live without a script.
You are fluent in multidimensional and OLAP-style data modeling (dimensions, hierarchies, grain, and non-additive measures) and can hold your own with enterprise data architects.
You have a working understanding of how AI systems interact with enterprise data, including LLMs, autonomous agents, Model Context Protocol (MCP), and text-to-SQL.
You have a proven track record of teaching in public (published writing, conference talks, a content channel, or active open-source repositories) and are comfortable on stage and on camera.
You are comfortable in fast-paced environments where priorities can shift quickly, bringing an appetite to learn complex topics rapidly and share the journey openly.
Bonus points if you have experience with semantic modeling languages (SML, MDX, DAX, LookML, Cube, or dbt MetricFlow), deep expertise in a major BI tool, or an existing developer audience.
You are located in the U.S. and comfortable collaborating across standard U.S. business hours (Boston, MA area preferred).
The Perks
Competitive salary + equity.
Unlimited PTO and comprehensive benefits.
The chance to shape the future of a global leader in AI-ready analytics.
Ready to build the future of data? Visit www.atscale.com to learn more.
About AtScale
AtScale is a software company that provides a universal semantic platform for business intelligence and big data. The company was founded in 2013 by Dave Mariani and is headquartered in San Mateo, California. The company's mission is to make it easy for enterprises to leverage their big data investments for business intelligence. The company's flagship product is the AtScale Intelligence Platform, which provides a single, secure, and governed workspace for business intelligence and big data. The company has received funding from a number of high-profile investors, including Storm Ventures and Lightspeed Venture Partners.
