Dbt Cloud Databricks Architect

Job Title: Senior DBT Cloud / Databricks Architect

Location: Remote

Job Summary

We are seeking a highly experienced Senior DBT Cloud / Databricks Developer Architect to lead the design, development, and optimization of modern cloud data platforms on Azure Databricks using DBT Cloud. This role requires deep expertise in Lakehouse architecture, enterprise data transformation, governance, CI/CD automation, and scalable analytics solutions.

The ideal candidate will have hands-on experience architecting enterprise-grade data platforms similar to large-scale Azure Databricks environments with strong leadership and client-facing skills.

Required Skills

14+ years of Data Engineering / Data Architecture experience

Hands-on experience with Databricks

Strong experience with DBT Cloud  

Expertise in Microsoft Azure (ADF, ADLS Gen2, Synapse, Key Vault)

Strong knowledge of Delta Lake and Medallion Architecture

Advanced SQL and Python programming skills

Experience with Unity Catalog / Purview / governance tools

Experience with CI/CD and Infrastructure as Code

Performance tuning of Spark jobs and Databricks workloads

Strong communication and stakeholder management skills

Key Responsibilities

Design and implement end-to-end Databricks Lakehouse Architecture using Bronze / Silver / Gold medallion framework.

Develop, manage, and optimize DBT Cloud projects including models, macros, tests, seeds, snapshots, and deployments.

Build scalable ELT pipelines using Databricks, Delta Lake, Spark SQL, Python, and SQL.

Configure and manage DBT Cloud jobs, scheduling, environments, and automated deployments.

Implement enterprise data governance using Unity Catalog, role-based access control, lineage, and data quality controls.

Design batch and streaming ingestion pipelines using Autoloader, Structured Streaming, ADF, Event Hubs, or similar tools.

Optimize Databricks clusters, SQL Warehouses, workload performance, and cloud cost management.

Integrate Databricks with BI tools such as Power BI, Tableau, or Fabric.

Build CI/CD pipelines using GitHub Actions, Azure DevOps, Terraform, or similar DevOps tools.

Collaborate with business stakeholders, data engineers, analysts, and leadership teams.

Provide architecture guidance, best practices, code reviews, and mentor junior developers.

Support migration from legacy ETL tools / data warehouses to modern Lakehouse platforms.