AtScale

Technical Consultant

AtScale  •  London, OH / Boston, MA (Onsite)  •  1 hour ago
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Job Description

The Mission

AtScale builds the Universal Semantic Layer for enterprise AI. A company defines each business metric once, and AtScale computes it the same way for every BI tool, application and AI agent, on Snowflake, Databricks, Google BigQuery and the other cloud data platforms it’s already running. People and AI systems get the same number no matter which tool or model asks. A wrong AI answer usually looks right, and that’s what keeps enterprise AI stuck in pilots. AtScale makes those answers accurate and repeatable at scale.

The Impact You’ll Make

In this role, you will:

  • Install, configure, and integrate information systems and software on Linux and Kubernetes environments to ensure seamless functionality for our customers.
  • Manage network servers, technology tools, and security protocols, including access controls, firewalls, and backup/recovery procedures.
  • Monitor system performance, troubleshoot outages, and upgrade systems with new releases to ensure our technology runs smoothly and efficiently.

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 are comfortable in fast-paced environments where priorities can shift quickly.
  • You value quality over speed and are curious about using AI to improve efficiency.
  • You have experience with Kubernetes, Active Directory, Linux system administration, and scripting in Python or Shell.
  • You are based in or able to work hours that support a globally distributed team (U.S., EMEA, or India).
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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.

AtScale

About AtScale

AtScale is the universal semantic layer platform that bridges the gap between business users, analysts, data scientists, and the modern data stack. We empower organizations to deliver governed, AI-ready analytics at scale across every BI and AI tool without moving or duplicating data.

With AtScale, enterprises can:

- Define and govern consistent business metrics across Power BI, Tableau, Excel, and other analytics tools

- Enable trusted GenAI experiences with natural language querying, semantic context, and consistent metric definitions

- Optimize cloud warehouse costs by eliminating redundant data movement and accelerating queries

- Unify modeling workflows with our open-source Semantic Modeling Language (SML), enabling code-first and no-code modeling, version control with Git, and CI/CD integration

- Deliver AI-powered insights by connecting enterprise data to LLM frameworks and advanced machine learning workflows

AtScale integrates seamlessly with modern cloud data platforms including Databricks, Snowflake, Google BigQuery, and Azure Synapse, which empowers organizations to leverage the full value of their data infrastructure

Trusted by enterprises in finance, retail, manufacturing, healthcare, and tech, use AtScale to simplify analytics complexity and ensure data governance while driving better, faster decision-making.

Our platform is built for performance, scalability, and security, supporting sub-second query speeds, intelligent query optimization, and full auditability. Whether enabling self-service BI, consistent enterprise metrics, or AI-driven decision-making, AtScale delivers the foundation for confident analytics at any scale.

Explore more at atscale.com and subscribe to our channel for news, resources, and thought leadership on BI, AI, and data strategy.

Industry
IT & Software
Company Size
51-200 employees
Headquarters
Boston, Massachusetts
Year Founded
2013
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