Data Governance and Data Analytics Presales Solutions Architect

Role Description

The Data Presales Solution Architect is a senior client-facing role at the intersection of data strategy, analytics architecture, and consultative sales. This person serves as CentriLogic’s lead technical voice for data engagements, translating client challenges into practical, commercially viable solutions built on Microsoft Fabric, Microsoft Purview, Power BI, Copilot capabilities, and the broader Azure data platform.

You will lead presales engagements from discovery through proposal delivery in partnership with Account Executives, SMEs, and delivery teams. Work includes:

• Governance assessments
• Analytics modernization
• Platform consolidation
• Real-time intelligence
• Managed services positioning
• AI-readiness programs built on a governed and trusted data foundation

The ideal candidate combines deep hands-on Microsoft data platform experience with strong consultative presales skills and executive presence. They can engage credibly with business and technical stakeholders, bring clarity to complex decisions, and apply AI acceleration responsibly with sound governance, validation, security, and engineering judgment.

Qualifications

• University degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent technical discipline.
• 7+ years in data architecture, data engineering, analytics consulting, or a related technical field.
• 3+ years in presales, solution architecture, or a customer-facing advisory role.
• Proven experience designing enterprise data platforms with Microsoft Fabric, Azure Databricks, Azure Synapse, or comparable modern analytics platforms.
• Hands-on experience with Microsoft Purview, Unity Catalog or equivalent governance tools for cataloging, metadata, lineage, and control frameworks.
• Practical experience enabling semantic models, metadata, and governance for Copilot, natural-language query, and agentic access patterns.
• Strong track record leading discovery, writing proposals, sizing engagements, delivering executive presentations, and advancing deals.

Requirements

• Required (or to be achieved within 6 months of hire):
• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
• Microsoft Certified: Azure Data Engineer Associate (DP-203 or DP-700)
• Preferred:
• Microsoft Certified: Azure Databricks Data Engineer Associate (DP-750)
• Microsoft Certified: Power BI Data Analyst Associate (PL-300)
• Microsoft Certified: Fabric Data Engineer Associate (DP-700)
• Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
• Microsoft Certified: Information Protection and Compliance Administrator Associate (SC-400)

Benefits

• Strong Microsoft Fabric expertise across OneLake, workspaces, Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Spark, Data Science, semantic models, capacity planning, and tenant governance.
• Experience with Real-Time Intelligence, including Eventstream, KQL databases, and Reflex.
• Practical use of Copilot in Fabric, developer productivity patterns, and conversational analytics through data agents and natural-language query experiences.
• Azure Databricks workspace architecture, including workspace organization, compute/serverless options, lakehouse design patterns, and integration with Azure data services.
• Delta Lake, Apache Spark, SQL Warehouses, Lakeflow/Workflows, and notebooks for scalable batch, streaming, and transformation workloads.
• Databricks and Microsoft Fabric interoperability, including OneLake/ADLS patterns, Power BI integration, and architecture trade-offs across Fabric and Databricks workloads.
• Databricks support for AI-ready data architecture, including governed feature/data products, secure data access, and trusted datasets for downstream AI and GenAI use cases.