Senior Databricks Consultant to design and implement Databricks platform foundations and Unity Catalog governance architecture Our public sector client is seeking a Senior Databricks Consultant to design and implement Databricks platform foundations and Unity Catalog governance architecture

Join a large-scale data analytics initiative focused on establishing enterprise Databricks and Unity Catalog capabilities across development, test, and production environments. This role leads platform architecture, governance, security integration, and operational standards across cloud data platforms and enterprise data engineering environments. The engagement includes ownership of workspace architecture, access controls, cloud storage integration, and governed data access patterns supporting enterprise analytics and data management.

Must Haves 10+ years implementing and administering Databricks in an enterprise setting

Proven delivery of Unity Catalog design and implementation including metastores , catalogs , schemas , access controls , and storage credentials

Hands-on work with Azure Databricks , ADLS Gen2 , AWS S3 , or Databricks on Google Cloud

Expertise in Delta Lake , Spark , SQL , Python , jobs , workflows , and data engineering pipelines

Degree or equivalent education related to data analytics, data engineering, or information technology

Nice to Have Databricks Certified Data Engineer Professional

Databricks platform administration experience

Implementation experience using Terraform, Azure DevOps, GitHub Actions, or CI/CD pipelines

Experience with Power BI, Microsoft Fabric, Azure Synapse, Azure Data Factory, or Purview

Experience designing medallion architecture, lakehouse architecture, or enterprise data platform operating models

Responsibilities Design and lead implementation of Databricks platform foundations across development, test, and production environments

Define workspace architecture, naming standards,



environment separation, identity models, and workspace lifecycle management

Configure Databricks account settings, workspaces, groups, service principals, credentials, access policies, and administrative controls

Design and deploy Unity Catalog governance architecture including catalogs, schemas, tables, views, volumes, and permissions

Implement secure integration between Databricks and cloud storage platforms including ADLS Gen2, AWS S3, or Google Cloud Storage

Support migration of existing tables, pipelines, notebooks, and workflows to Unity Catalog-enabled architecture

Document platform architecture, operational procedures, support processes, and runbooks for administration and incident response

Our public sector client is seeking a Senior Databricks Consultant to design and implement Databricks platform foundations and Unity Catalog governance architecture

Join a large-scale data analytics initiative focused on establishing enterprise Databricks and Unity Catalog capabilities across development, test, and production environments. This role leads platform architecture, governance, security integration, and operational standards across cloud data platforms and enterprise data engineering environments. The engagement includes ownership of workspace architecture, access controls, cloud storage integration, and governed data access patterns supporting enterprise analytics and data management.

Contract, Vancouver, Working Hours: PST

Must Haves 10+ years implementing and administering Databricks in an enterprise environment





Proven delivery of Unity Catalog design and implementation including metastores , catalogs , schemas , access controls , and storage credentials

Hands-on work with Azure Databricks , ADLS Gen2 , AWS S3 , or Databricks on Google Cloud

Expertise in Delta Lake , Spark , SQL , Python , jobs , workflows , and data engineering pipelines

Degree or equivalent education related to data analytics, data engineering, or information technology

Nice to Have Databricks Certified Data Engineer Professional

Databricks platform administration experience

Implementation experience using Terraform, Azure DevOps, GitHub Actions, or CI/CD pipelines

Experience with Power BI, Microsoft Fabric, Azure Synapse, Azure Data Factory, or Purview

Experience designing medallion architecture, lakehouse architecture, or enterprise data platform operating models

Responsibilities Design and lead implementation of Databricks platform foundations across development, test, and production environments

Define workspace architecture, naming standards, environment separation, identity models, and workspace lifecycle management

Configure Databricks account settings, workspaces, groups, service principals, credentials, access policies, and administrative controls

Design and deploy Unity Catalog governance architecture including catalogs, schemas, tables, views, volumes, and permissions

Implement secure integration between Databricks and cloud storage platforms including ADLS Gen2, AWS S3, or Google Cloud Storage

Support migration of existing tables, pipelines, notebooks, and workflows to Unity Catalog-enabled architecture

Document platform architecture, operational procedures, support processes, and runbooks for administration and incident response

Disclaimer: AI may be used in evaluating candidates.

This posting is for an existing vacancy.

📌 Senior Databricks Consultant to design and implement Databricks platform foundations and Unity Catal (Vancouver)
🏢 S.i. Systems
📍 Vancouver