Senior Data Engineer/Data Architect

As an experienced Presales Solution Architect with expertise in Microsoft Data Platform & AI and exposure to modern data platforms, your role will involve architecting enterprise-scale data and AI solutions, leading presales engagements, and driving data consulting engagements for customers across various industries. **Key Responsibilities - Presales & Solutioning:** - Lead presales engagements including solution architecture, sizing, and cost estimation. - Architect enterprise-grade Microsoft Data Platform solutions and integrate hybrid architectures involving platforms such as Snowflake, SAAL.AI, Databricks, BigQuery, and AWS Redshift. - Develop proposals, SoWs, and competitive RFP/RFI responses. - Conduct solution demos, PoCs, and technical workshops for customers. **Key Responsibilities - Delivery Enablement:** - Ensure successful delivery engagements post deal closure, focusing on 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 to deliver joint value propositions. **Key Responsibilities - Practice Development:** - Build and scale a Data & AI practice within the Cloud BU by hiring, training, and capability building. - Develop industry-specific AI solutions leveraging Microsoft AI & GenAI services and partner platforms. - Stay updated on emerging trends in data engineering, analytics, AI, and governance. **Required Skills & Experience:** - Strong expertise in Microsoft Data Platform & AI. - Experience with other data platforms like Snowflake, Databricks, BigQuery, and AWS Redshift. - Hands-on experience in enterprise data platform and AI implementations. - Knowledge of data architecture, ETL/ELT, modeling, governance, and security. - Familiarity with AI/ML frameworks and cognitive services. - Proven track record in presales solutioning, cost estimation, and proposal creation. - Relevant certifications preferred. **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. In this role, you will have the opportunity to 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, and be part of a high-growth, innovation-driven Cloud BU.,