DataOps Architect/Lead

Skills this role screens for

About the role

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.

Who they want

Experience Required

Core Technical Expertise

• 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.

Also

Azure Platform

• Fabric & Databricks architecture.
• ADF.
• ADLS.
• Entra ID.
• Key Vault.
• Monitor/Log Analytics.

Also

Microsoft Fabric

• Workspace & environment strategy.
• Lakehouse/Warehouse.
• OneLake.
• Pipelines/Notebooks.
• REST APIs/CLI.
• Governance.

Also

Azure Databricks

• Workspace strategy.
• Unity Catalog.
• RBAC.
• Jobs/Workflows.
• Delta Lake.
• Asset Bundles.
• ML platform integration.

Also

DevOps & IaC

• Azure DevOps/GitHub CI/CD.
• Terraform & Bicep.
• Branching/release strategy.
• Reusable IaC modules.

Also

Security & Networking

• Entra ID.
• RBAC architecture.
• Private Endpoints/DNS.
• Key Vault integration.

Also

DataOps Standards

• CI/CD & test gates for pipelines.
• Data-quality frameworks.
• Observability/alerting architecture.
• SLAs/SLOs.
• Incident-management practices.
• FinOps guardrails.

The work

Key Responsibilities

Competencies, Certifications & Education

• 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.
• Set standards for CI/CD, IaC, DataOps, and environment management; ensure enterprise security and regulatory compliance.
• Evaluate technology options; identify architectural risks and define mitigation strategies.
• Act as the primary architecture point of contact for the client; lead workshops and present trade-offs and roadmaps to senior stakeholders.
• Provide technical oversight across implementation teams; conduct architecture and design reviews.
• Mentor Leads and Architects; establish reusable reference architectures and engineering standards.

Also

Must-have

• Azure Solution Architecture.
• Fabric Architecture.
• Databricks Architecture.
• Enterprise Data Architecture.
• Security & Governance.
• Client Advisory & Consulting.

Also

Good-to-have

• Cost & performance optimization.
• Data-mesh/data-product exposure.
• Client-industry experience.
• Multi-cloud (AWS/GCP) exposure.

Also

Note

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