CentriLogic
Data Governance and Data Analytics Presales Solutions Architect
Canada
Sponsorship not specifiedDetected 31 days ago
SQLSnowflakeDatabricksAWSGCPAzureDevOpsMachine LearningSparkData AnalysisData EngineeringData ScienceData VisualizationComplianceAgileSalesforceSalesSAPERPIntellectual PropertyUnityLeadershipCommunicationCollaboration
About the role
- The Data Presales Solution Architect is a senior client-facing role at the intersection of data strategy, analytics architecture, and consultative sales.
- Work includes governance assessments, analytics modernization, platform consolidation, real-time intelligence, managed services positioning, and AI-readiness programs built on a governed and trusted data foundation.
- 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.
Responsibilities
- Design end-to-end data platforms on Microsoft Fabric and Azure Databricks, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Lakeflow Connect, Spark, semantic models, and Real-Time Intelligence where needed.
- Design scalable, auditable analytics environments using medallion architecture, Delta Lake principles, and Power BI/Fabric-native reporting patterns.
- Maintain current expertise across Fabric, Azure Databricks, Purview, Unity Catalog, Power BI, Synapse, Copilot in Fabric, AI functions, and the evolving Microsoft data and AI roadmap.
- Partner with Account Executives to advance opportunities with strong technical credibility and strategic recommendations.
- Own the technical narrative in RFPs, proposals, competitive pursuits, executive briefings, and Statements of Work.
- Develop estimates, pricing approaches, business cases, and tailored solution proposals.
Requirements
- The ideal candidate combines deep hands-on Microsoft data platform experience with strong consultative presales skills and executive presence.
- Education
- University degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent technical discipline.
- Experience
- 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.
- Certifications
Nice to have
- Experience governing Fabric, OneLake, Lakehouse, and Warehouse assets and applying compliance frameworks such as GDPR, CCPA, PIPEDA, SOX, and HIPAA.
- Analytics and Business Intelligence
- Experience preparing semantic models and metadata to improve Copilot, data agent relevance, trust, and accuracy.
- Knowledge of data literacy enablement and migration paths from Azure Analysis Services to Fabric-based models.
- Data Architecture and Engineering
- Experience with Azure services such as Data Factory, Azure SQL, Synapse, Cosmos DB, and Azure AI Search.
- Presales and Client Engagement
- Excellent written and verbal communication, with the ability to engage both C-suite stakeholders and technical architects.
Skills
- Microsoft Fabric Platform
- Experience with Real-Time Intelligence, including Eventstream, KQL databases, and Reflex.
- Azure Databricks Platform
- Delta Lake, Apache Spark, SQL Warehouses, Lakeflow/Workflows, and notebooks for scalable batch, streaming, and transformation workloads.
- Data Governance
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