Databricks Architect
US$145,000 – US$188,000 / yr base salary
Posted 15 May 2026
Advertised as “Databricks Architect | US”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 6+ yrs
- Management level
- People management
- Employment
- Remote
- Contract
- Full-time
| Base salary | US$145,000 – US$188,000 / yr |
|---|
CertificationsData Engineer Associate, Machine Learning Associate, ML Engineer Associate
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
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Design and architect scalable Databricks-based solutions for enterprise clients.
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Lead end-to-end cloud data platform implementations across AWS and/or Azure.
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Design and build production pipelines using Databricks Workflows and Spark Declarative Pipelines.
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Design scalable ETL/ELT pipelines using Spark, PySpark, and Databricks Workflows.
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Partner directly with client stakeholders to understand business needs and translate them into technical solutions.
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Provide technical leadership and guidance to data engineering teams.
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Implement CI/CD pipelines and infrastructure-as-code for Databricks resources.
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Drive collaborative development through Git workflows, pull requests, and code reviews.
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Collaborate cross-functionally with analytics, engineering, and business teams.
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Serve as the primary technical point of contact for clients, including C-level executives.
What We’re Looking For
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6+ years of experience in Data Engineering, Cloud Architecture, or related roles.
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3+ years of hands-on experience with Databricks.
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Strong proficiency in PySpark, Spark SQL, Python, and SQL.
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Deep experience with Delta Lake, Unity Catalog, Delta Live Tables, and Databricks Jobs.
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Proven experience delivering Databricks projects in a consulting or professional services environment.
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Strong understanding of data lake concepts and formats (Delta, Iceberg, Parquet, etc.).
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Experience designing and managing Unity Catalog for governance, access control, and lineage.
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Familiarity with medallion architecture (bronze/silver/gold) patterns.
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Hands-on experience with Git version control, pull requests, code reviews, and collaborative development workflows.
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CI/CD and infrastructure-as-code for Databricks resources (Terraform, Asset Bundles, GitHub Actions).