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!