DataOps Architect
Posted 17 Sep 2026
Advertised as “DataOps Architect/Lead”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8–10 yrs
- Management level
- People management
Compensation
No salary listed for this role.
Role speciality
Azure Data Platform ArchitectureData ArchitectureDataOps
Useful technologies
AWSAzureAzure DatabricksAzure Data FactoryAzure Data Lake StorageAzure DevOpsAzure Key VaultAzure MonitorBicepDatabricksDelta LakeGitHubGoogle Cloud PlatformLog AnalyticsMicrosoft Entra IDMicrosoft FabricOneLakeREST APIsTerraformUnity Catalog
Role: DataOps Solution Architect — Azure Data Platform (Fabric & Databricks)
Owns end-to-end architecture of the Azure data platform (Fabric, Databricks, Azure services) and sets the governance, security, and DataOps standards engineering teams implement. Design authority and primary architecture advisor to the client, not the day-to-day builder.
Experience Required
- 8-10+ years overall in data engineering / cloud architecture, including 3+ years as a Solution Architect or in a comparable design-authority role.
- Microsoft Fabric: 2+ years hands-on.
- Azure Databricks: 4+ years hands-on.
- Proven track record designing and delivering enterprise-scale Azure data platforms end-to-end.
- Azure is mandatory; experience across multiple client engagements or a consulting/SI background is a plus.
Core Technical Expertise
Azure Platform
- Fabric & Databricks architecture.
- ADF.
- ADLS.
- Entra ID.
- Key Vault.
- Monitor/Log Analytics.
Microsoft Fabric
- Workspace & environment strategy.
- Lakehouse/Warehouse.
- OneLake.
- Pipelines/Notebooks.
- REST APIs/CLI.
- Governance.
Azure Databricks
- Workspace strategy.
- Unity Catalog.
- RBAC.
- Jobs/Workflows.
- Delta Lake.
- Asset Bundles.
- ML platform integration.
DevOps & IaC
- Azure DevOps/GitHub CI/CD.
- Terraform & Bicep.
- Branching/release strategy.
- Reusable IaC modules.
Security & Networking
- Entra ID.
- RBAC architecture.
- Private Endpoints/DNS.
- Key Vault integration.
DataOps Standards
- CI/CD & test gates for pipelines.
- Data-quality frameworks.
- Observability/alerting architecture.
- SLAs/SLOs.
- Incident-management practices.
- FinOps guardrails.
Key Responsibilities
- Own end-to-end architecture; translate requirements into scalable, secure, cost-effective designs.
- Design enterprise-scale Fabric/Databricks architecture including workspace, networking, security, and governance.