Cuesta Partners
Consulting
DatabricksArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Databricks Architect at Cuesta Partners. Skills: Databricks, Data engineering, Cloud architecture, Consulting. Design Databricks-based solutions. Architect scalable solutions”
Industry & Context.
What They're Looking For.
Must Have
6+ years experience, 3+ years Databricks experience, Proficiency in PySpark, Spark SQL, Python, SQL, Deep experience Delta Lake, Unity Catalog, Delta Live Tables, Databricks Jobs, Experience delivering Databricks projects, Understanding of data lake concepts, Experience designing Unity Catalog, Familiarity with medallion architecture, Hands-on Git experience, CI/CD and IaC for Databricks, MLflow experience, Cloud platform experience, Experience in client-facing environments, Experience leading technical projects
Nice to Have
Databricks certifications
What You'll Do.
Design Databricks-based solutions
Architect scalable solutions
Lead cloud data platform implementations
Design production pipelines
Build production pipelines
Design ETL/ELT pipelines
Partner with client stakeholders
Understand business needs
Translate needs into solutions
Provide technical leadership
Guide data engineering teams
Implement CI/CD pipelines
Implement IaC for Databricks
Drive collaborative development
Collaborate cross-functionally
Serve as technical point of contact
How You'll Work.
Team & Collaboration
Client stakeholders; Data engineering teams; Analytics teams; Engineering teams; Business teams; Cross-functional teams
Communication Scope
Client presentations; Technical solutions
Process & Methodology
Agile, Git workflows, Pull requests, Code reviews
Full Job Description
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 developmen
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