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.

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. 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.

Key Responsibilities – Presales & Solutioning

·      Lead presales engagements from requirements gathering to solution architecture, sizing, and cost estimation.

·      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.

·      Integrate and design hybrid architectures involving other platforms such as Snowflake, SAAL.AI, Databricks, BigQuery, and AWS Redshift.

·      Develop proposals, SoWs, and RFP/RFI responses with competitive positioning.

·      Conduct solution demos, PoCs, and technical workshops for customers.

Key Responsibilities – Delivery Enablement

·      Transition signed deals into successful delivery engagements, ensuring quality and adherence to timelines.

·      Define reusable frameworks, reference architectures, and accelerators for Microsoft and multi-platform data solutions.

·      Provide technical leadership during design and early delivery phases.

Key Responsibilities – Customer Engagement

·      Act as a trusted advisor to CxO and senior stakeholders on data modernization, AI adoption, and governance strategies.

·      Lead consulting engagements to assess current-state data maturity and define modernization roadmaps.

·      Collaborate with partner ecosystems (Microsoft, Snowflake, Databricks, Google Cloud, etc.) to deliver joint value propositions.

Key Responsibilities – Practice Development

·      Build and scale a Data & AI practice within the Cloud BU, including hiring, training, and capability building.

·      Develop industry-specific AI solutions leveraging Microsoft AI & GenAI services and partner platforms.

·      Stay ahead of emerging trends in data engineering, analytics, AI, and governance.

Required Skills & Experience

·      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.

·      Experience integrating with or working on other data platforms: Snowflake, SAAL.AI, Databricks, BigQuery, AWS Redshift.

·      Hands-on delivery background in enterprise data platform and AI implementations.

·      Strong knowledge of data architecture, ETL/ELT, modeling, governance, and security.

·      Familiarity with AI/ML, GenAI frameworks, and cognitive services.

·      Proven track record in presales solutioning, cost estimation, and proposal creation.

·      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 certification.

Preferred Background

·      Experience across Public Sector, BFSI, Healthcare, and Energy verticals.

·      Exposure to vertical-led AI solutions.

·      Ability to set up and lead a Data & AI CoE.

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or related field.

Why Join Us

·      Lead cutting-edge data & AI transformation projects for strategic customers.

·      Work with Microsoft and leading data platform partners.

·      Shape the future of our Data & AI practice.

·      Join a high-growth, innovation-driven Cloud BU.