Technical Consultation

• Act as a senior technical advisor to sales leadership, account teams, and clients throughout the sales cycle.
• Engage executives and data leaders on strategy, governance maturity, analytics modernization, compliance, and roadmap priorities.
• Lead discovery workshops, assessments, and maturity evaluations to identify gaps and shape solution direction.
• Translate complex data, governance, and AI capabilities into business value, ROI narratives, and executive-ready presentations.
• 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.

Sales Support

• 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.
• Lead proof-of-concepts and demonstrations that show measurable governance, analytics, and AI-augmented outcomes.
• Help generate pipeline through industry presence, relationships, and trusted client engagement.

Collaboration with Subject Matter Experts

• Partner with SMEs across Cloud, Security, AI, ERP, and Managed Services to shape holistic, feasible solutions.
• Work with delivery teams to validate solution designs before submission and support project kick-off alignment.
• Conduct peer reviews and due diligence to maintain scope integrity, delivery alignment, and proposal quality.
• Contribute reusable assets, intellectual property, and internal enablement to strengthen the Data practice.

Qualifications

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

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)

Core Skills

Microsoft Fabric Platform

• 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 Platform

• 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.

Data Governance

• Deep knowledge of Microsoft Purview, including catalog, map, lineage, quality, policy, classification, sensitivity labeling, and governance operating models.
• Unity Catalog: centralized governance across Azure Databricks workspaces, including catalog, schema, table, and volume-level access controls, lineage, discovery, row/column-level security patterns, and alignment with Microsoft Purview for cross-platform governance.
• Experience governing Fabric, OneLake, Lakehouse, and Warehouse assets and applying compliance frameworks such as GDPR, CCPA, PIPEDA, SOX, and HIPAA.
• Understanding of how governance quality supports safe, reliable Copilot and agentic data experiences.

Analytics and Business Intelligence

• Strong Power BI skills across semantic model design, DAX, dashboards, row-level security, Direct Lake, deployment pipelines, and governed self-service BI.
• 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

• Expertise in medallion architecture, Delta Lake, dimensional and relational modeling, and batch/streaming pipeline design with monitoring and error handling.
• Experience with Azure services such as Data Factory, Azure SQL, Synapse, Cosmos DB, and Azure AI Search.
• Ability to design descriptive schemas, metadata, scoped data products, and validation patterns that support accurate, production-ready natural-language access to governed data.

Presales and Client Engagement

• Strong solution-selling, proposal writing, SOW development, effort estimation, pricing support, and POC/demo design skills.
• Excellent written and verbal communication, with the ability to engage both C-suite stakeholders and technical architects.
• Ability to travel within the Greater Toronto Area, nationally, and to the United States as required.

Additional Qualifications (Nice to Have)

Experience or knowledge in any of the following:

Microsoft Ecosystem Depth

• Broader Microsoft ecosystem knowledge, including Sentinel, Defender, Entra ID, RBAC, M365 Copilot, SharePoint, Teams, Exchange, Dynamics 365, and Databricks/Fabric interoperability.
  AI and Data Readiness
• Experience positioning governed data estates for Azure OpenAI, AI Foundry, Copilot, agentic solutions, AI-readiness assessments, and Fabric Data Science or ML lifecycle scenarios.
  Multi-Cloud / Third-Party
• Exposure to Snowflake, AWS, Google Cloud, Databricks, SAP data integration, Salesforce, and Dynamics 365 integration scenarios.
  Application Innovation and DevOps
• Familiarity with DataOps, infrastructure as code, and agile delivery practices.
  Platforms & Infrastructure
• Awareness of managed infrastructure, managed security, and managed productivity service models.

Originally posted on Himalayas