Senior Databricks Consultant to design and implement Databricks platform foundations and Unity Catal

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 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 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.

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