Naval Architecture co - op student supporting Thales Canada’s Royal Canadian Navy ship programs. Conducting technical investigations, documentation, audits, and compliance activities across hybrid sites.
About the role
- Databricks Architect designing and deploying enterprise cloud data platforms for Cuesta Partners’ consulting clients. Leading pipelines, governance, CI/CD, and client-facing technical delivery.
Responsibilities
- 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, including C-level executives, 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 with analytics, engineering, and business teams
- Serve as the primary technical point of contact for clients
Requirements
- 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, including Delta, Iceberg, and Parquet
- Experience designing and managing Unity Catalog for governance, access control, and lineage
- Familiarity with medallion architecture patterns
- Hands-on experience with Git version control, pull requests, code reviews, and collaborative development workflows
- CI/CD and infrastructure-as-code experience for Databricks resources, including Terraform, Asset Bundles, and GitHub Actions
- MLflow experience in 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 are nice to have
- Experience with agentic AI workflows, Agentbricks, LangChain, and Claude agentic workflows is nice to have
Benefits
- 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
- Target bonus of 20-25%
- 401k
- Healthcare benefits
- Paid time-off
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