(Remote USA) Databricks Architect | US

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!



Compensation:
$145K – $188K • Offers Bonus • In addition to the base salary, there is typically an annual bonus of between 20-25% of salary.


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