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!