Databricks Architect
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Before you apply
LocationCanada
Work moderemote
Typefull-time
SeniorityLead
Experience6+ yrs
DepartmentTechnology & AI Consulting
Company size16+ people
PostedAug 13, 2026 · 2mo ago
Verified live10h ago
At a glanceSummarised by Seekless from the posting.
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
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
Skills
Databricks
PySpark
Spark SQL
Python
SQL
Delta Lake
Unity Catalog
Delta Live Tables
Databricks Workflows
Spark Declarative Pipelines
Git
Terraform
Asset Bundles
GitHub Actions
MLflow
LangChain
Claude
AWS
Azure
Spark
Parquet
Iceberg
Benefits
Health insurance
401(k)
Paid time off
Flexible working
About the role
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.
•
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
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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:
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At Cuesta, we value entrepreneurship, humility, diversity, learning, speed, and balance. We provide our team members with:
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Constant opportunities for exposure & learning
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Flexible working location and enabling personal-life harmony with work
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Agency and influence in the company’s total strategy and direction
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Collaboration with a high-performing team
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Competitive base salary (outlined in this listing) and target bonus of 15-25%
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401k, healthcare benefits, paid time-off, and more!