Presales Solution Architect

Skills :

Solution Architecture, Data Platform Design, Cloud Platforms, Pre-sales Consulting, Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake, Azure SQL,

Job Description :

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.

- 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 :

- Bachelors or Masters 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.