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Senior Databricks Platform Architect – Lead
49 Solutions. Provide technical leadership for the design and implementation of secure, enterprise-scale Databricks environments supporting Government of Canada data, analytics and AI initiatives .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing secure enterprise-scale Databricks environments within Microsoft Azure, with a strong focus on data governance, cloud networking, and identity management. Proven ability to lead complex technical delivery and engage with federal stakeholders effectively.
Highest-signal resume keywords
Databricks LakehouseMicrosoft AzureData GovernanceCloud NetworkingEnterprise Data Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Databricks SQLDelta LakeUnity CatalogApache Spark/PySparkPythonSQLCI/CDDevOps ConceptsLakeflowEnterprise ETL/ELT Architecture
Soft Skills
Client-Facing ConsultingCommunication Skills
Tools & Technologies
Microsoft Entra IDTerraformMicrosoft PurviewDatabricks Asset BundlesDatabricks AI/BIGenieMLflowMosaic AI
Certifications & Qualifications
Government of Canada Reliability ClearanceMicrosoft Certified: Azure Solutions Architect ExpertDatabricks Solutions Architect TrainingDatabricks Platform Administrator AccreditationDatabricks Data & AI Governance with Unity Catalog Training
Industry Keywords
Protected BITSG-33PBMMSA&AATOBilingualism in English and French
Tech Stack
Tools & technologiesApacheAzureCloudETLPySparkPythonSparkSQLTerraformUnity
About the role
Key responsibilities & impact- Provide technical leadership for the design and implementation of secure, enterprise-scale Databricks environments supporting Government of Canada data, analytics and AI initiatives
- Lead architecture and implementation of enterprise Databricks platforms within Microsoft Azure
- Define target-state Lakehouse, workspace and Unity Catalog architectures
- Design secure foundations for data engineering, Databricks SQL, BI, analytics, AI and machine learning workloads
- Establish architectural patterns for Delta Lake, Lakeflow, Databricks SQL and Unity Catalog
- Design integrations with cloud, enterprise and on-premises data sources
- Work with Azure cloud and network specialists on VNet injection, Private Link, routing and secure connectivity
- Define identity and access patterns using Microsoft Entra ID, SCIM and role-based access controls
- Guide platform security approval, governance, classification, lineage, auditing and cost controls
- Provide technical direction to data engineering, DevOps, security, networking and governance resources
- Lead discovery sessions, architecture workshops and design reviews with federal stakeholders
- Develop reusable architectures, implementation standards, runbooks and knowledge-transfer materials
Requirements
What you’ll need- Minimum of 10 years of professional experience working in the IT industry or performing IT-related roles
- Valid and active Government of Canada Reliability, Secret or Top Secret security clearance
- Significant experience designing enterprise data, cloud or analytics platforms
- Hands-on Databricks and Microsoft Azure experience
- Experience with Databricks workspaces, Delta Lake, Unity Catalog and enterprise ETL/ELT architecture
- Strong knowledge of cloud networking, identity, security and data governance
- Experience leading complex technical delivery and preparing architecture documentation
- Strong client-facing consulting and communication skills
- Technical skills: Databricks Lakehouse, Unity Catalog, Delta Lake, Lakeflow, Databricks SQL, Apache Spark/PySpark, Python, SQL, Microsoft Azure, Microsoft Entra ID, cloud networking and security, enterprise data architecture, data governance, CI/CD and DevOps concepts
- Target Databricks certification may be obtained later; candidates must be willing to obtain it at their own expense if required for an opportunity
- Assets include Government of Canada Databricks implementations, Protected B, ITSG-33, PBMM, SA&A or ATO, Microsoft Purview, Terraform, Databricks Asset Bundles, listed migration technologies, Databricks AI/BI, Genie, MLflow or Mosaic AI, and bilingualism in English and French
- Additional asset certifications include Microsoft Certified: Azure Solutions Architect Expert, Databricks Solutions Architect training or accreditation, Databricks Platform Administrator accreditation, Databricks Data & AI Governance with Unity Catalog training, Databricks EDW/ETL migration training, and TOGAF or equivalent