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Cuesta Partners via Ashby

Databricks Architect | US

Level not stated United States
still open verified 1d ago posted 122d ago checked 1h ago
Apply at jobs.ashbyhq.com

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 122d ago

The date the source published, not the day we noticed it (2026-05-15). Last seen at its source 1h ago.

Is it remote?

Remote US

That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.

Who may apply?

United States

The description states no restriction of its own. This is the source's own tag.

Pay not stated

Similar roles pay $160k–225k/yr

Middle 50% of 2159 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.

Skills named in the ad

AWSAzureCI/CDCode ReviewDatabricksGitGitHub ActionsLangChainMachine LearningMentoringObservabilityPythonSQLSparkTerraform

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

About Cuesta Partners We are looking for a Databricks Architect to lead the delivery of data engineering solutions in a client-facing environment. This is a hands-on leadership role where you will work directly with clients — including C-level stakeholders — to design, build, and deploy production-grade Databricks platforms.

What You’ll Do

  • Design and architect scalable Databricks-based solutions for enterprise clients.

  • Lead end-to-end cloud data platform implementations across AWS and/or Azure.

  • Design and build production pipelines using Databricks Workflows and Spark Declarative Pipelines.

  • Design scalable ETL/ELT pipelines using Spark, PySpark, and Databricks Workflows.

  • Partner directly with client stakeholders to understand business needs and translate them into technical solutions.

  • Provide technical leadership and guidance to data engineering teams.

  • Implement CI/CD pipelines and infrastructure-as-code for Databricks resources.

  • Drive collaborative development through Git workflows, pull requests, and code reviews.

  • Collaborate cross-functionally with analytics, engineering, and business teams.

  • Serve as the primary technical point of contact for clients, including C-level executives.

What We’re Looking For

  • 6+ years of experience in Data Engineering, Cloud Architecture, or related roles.

  • 3+ years of hands-on experience with Databricks.

  • Strong proficiency in PySpark, Spark SQL, Python, and SQL.

  • Deep experience with Delta Lake, Unity Catalog, Delta Live Tables, and Databricks Jobs.

  • Proven experience delivering Databricks projects in a consulting or professional services environment.

  • Strong understanding of data lake concepts and formats (Delta, Iceberg, Parquet, etc.).

  • Experience designing and managing Unity Catalog for governance, access control, and lineage.

  • Familiarity with medallion architecture (bronze/silver/gold) patterns.

  • Hands-on experience with Git version control, pull requests, code reviews, and collaborative development workflows.

  • CI/CD and infrastructure-as-code for Databricks resources (Terraform, Asset Bundles, GitHub Actions).

  • MLflow experience: experiment tracking, model registry, deployment, and observability.

  • Cloud platform experience.

  • Experience working in client-facing, consulting, or cross-functional environments.

  • Experience leading technical projects or mentoring engineering teams.

Nice to Have

  • Databricks certifications (Data Engineer Associate or Professional, Machine Learning Associate or Professional, Data Engineer Associate or Professional or ML Engineer Associate or Professional).

  • Experience with agentic AI workflows, including agents, skills, and tools on the Databricks side (Agentbricks), as well as LangChain and Claude agentic workflows.

Benefits: What you’ll gain:

  • At Cuesta, we value entrepreneurship, humility, diversity, learning, speed, and balance. We provide our team members with:

  • Constant opportunities for exposure & learning

  • Flexible working location and enabling personal-life harmony with work

  • Agency and influence in the company’s total strategy and direction

  • Collaboration with a high-performing team

  • Competitive base salary (outlined in this listing) and target bonus of 20-25%

  • 401k, healthcare benefits, paid time-off, and more!

Apply at jobs.ashbyhq.com