<p><b>Skills : </b></p><p><br/></p><p>Azure Data Fabric, snowflake, synapse, Databricks, Data engineering, AWS, Data Architecture, Data Integration.
</p><p><br/></p><p>We are seeking an experienced Presales Solution Architect with deep Microsoft Data Platform & AI expertise, combined with knowledge and exposure to other modern data platforms such as Snowflake, SAAL.
AI, Databricks, Synapse, and BigQuery.<br/><br/> The ideal candidate will have a proven track record of architecting enterprise-scale data and AI solutions, leading presales engagements, and delivering large-scale data platform projects.<br/><br/> This role will also be responsible for building a high-performing Data & AI practice within our Cloud BU and driving data consulting engagements for customers across multiple industries.<br/><br/><b> Key Responsibilities & Solutioning : </b></p><p><br/></p><p>- Lead presales engagements from requirements gathering to solution architecture, sizing, and cost estimation.<br/><br/>- Architect enterprise-grade Microsoft Data Platform solutions including Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake, Azure SQL, Cosmos DB, Azure Data Factory, Azure Stream Analytics, Azure ML, and Microsoft Purview.<br/><br/>- Integrate and design hybrid architectures involving other platforms such as Snowflake, SAAL.<br/><br/>- AI, Databricks, BigQuery, and AWS Redshift.<br/><br/>- Develop proposals, SoWs, and RFP/RFI responses with competitive positioning.<br/><br/>- Conduct solution demos, PoCs, and technical workshops for Enablement : </b></p><p><br/></p><p>- Transition signed deals into successful delivery engagements, ensuring quality and adherence to timelines.<br/><br/>- Define reusable frameworks, reference architectures, and accelerators for Microsoft and multi-platform data solutions.<br/><br/>- Provide technical leadership during design and early delivery phases.<br/><br/><b>Customer Engagement : </b></p><p><br/></p><p>- Act as a trusted advisor to CxO and senior stakeholders on data modernization, AI adoption, and governance strategies.<br/><br/>- Lead consulting engagements to assess current-state data maturity and define modernization roadmaps.<br/><br/>- Collaborate with partner ecosystems (Microsoft, Snowflake, Databricks, Google Cloud, etc.) to deliver joint value propositions.<br/><br/><b>Practice Development : </b></p><p><br/></p><p>- Build and scale a Data & AI practice within the Cloud BU, including hiring, training, and capability building.<br/><br/>- Develop industry-specific AI solutions leveraging Microsoft AI & GenAI services and partner platforms.<br/><br/>- Stay ahead of emerging trends in data engineering, analytics, AI, and governance.<br/><br/><b> Required Skills & Experience : </b></p><p><br/></p><p>- Strong expertise in Microsoft Data Platform & AI including Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake, Azure SQL, Cosmos DB, Azure Data Factory, Azure Stream Analytics, Azure ML, and Microsoft Purview.<br/><br/>- Experience integrating with or working on other data platforms : Snowflake, SAAL.<br/><br/>- AI, Databricks, BigQuery, AWS Redshift.<br/><br/>- Hands-on delivery background in enterprise data platform and AI implementations.<br/><br/>- Strong knowledge of data architecture, ETL/ELT, modeling, governance, and security.<br/><br/>- Familiarity with AI/ML, GenAI frameworks, and cognitive services.<br/><br/>- Proven track record in presales solutioning, cost estimation, and proposal creation.<br/><br/>- Relevant certifications preferred : Microsoft Certified : Azure Solutions Architect Expert, Microsoft Certified : Azure Data Engineer Associate, SnowPro, Databricks Certified Data Engineer, Azure AI Engineer Associate or AI/ML specialty Background : </b></p><p><br/></p><p>- Experience across Public Sector, BFSI, Healthcare, and Energy verticals.<br/><br/>- Exposure to vertical-led AI solutions.<br/><br/>- Ability to set up and lead a Data & AI CoE.<br/><br/><b> Education : </b></p><p><br/></p><p>- Bachelors or Masters degree in Computer Science, Data Science, Information Technology, or related field.<br/><br/><b> Why Join Us : </b></p><p><br/></p><p>- Lead cutting-edge data & AI transformation projects for strategic customers.<br/><br/>- Work with Microsoft and leading data platform partners.<br/><br/>- Shape the future of our Data & AI practice.<br/><br/>- Join a high-growth, innovation-driven Cloud BU.<br/></p> (ref:hirist.tech)