Principal Solution Architect

Job Description

This role is for one of the Weekday's clients Salary range: Rs 3000000 - Rs 4500000 (ie INR 30-45 LPA) Min Experience: 12 years Location: Pune JobType: full-time We are seeking a highly accomplished Principal Solution Architect to spearhead the design, development, and implementation of complex cloud-based data solutions. This role is critical in shaping end-to-end data strategies, leading modernization initiatives, and delivering cutting-edge solutions that integrate GenAI and LLM technologies across multiple cloud platforms such as AWS, Azure, and GCP. The ideal candidate brings deep technical expertise, strategic leadership, and a proven track record in enterprise data architecture. Requirements Key Responsibilities: Solution Design & Architecture: Architect and lead the development of scalable, secure, and high-performance data platforms—including data lakes, warehouses, data mesh, and streaming pipelines—across cloud environments (AWS, Azure, GCP). Client Engagement & Pre-Sales: Collaborate with clients to understand their business needs, translate requirements into viable technical solutions, and support pre-sales efforts through proposal development, solution presentations, and technical demos. Data Strategy & Innovation: Champion cloud data modernization and AI-driven strategies by incorporating cloud-native services, big data tools, GenAI, and LLMs to unlock transformative value. Cross-Industry Impact: Apply best practices in data architecture across domains like BFSI, Retail, Manufacturing, and Supply Chain to ensure scalable and industry-relevant solutions. Required Qualifications & Skills: Experience: Minimum 15 years in IT with significant exposure to data architecture, data engineering, and enterprise-grade solution design. Experience in a principal or lead architect capacity is essential. Cloud Expertise: Azure: Proficiency in Microsoft Fabric, Data Lake, Power BI, Data Factory, Azure Purview; good understanding of Azure Service Foundry, Agentic AI, and Copilot. GCP: Knowledge of BigQuery, Vertex AI, Gemini, and related services. AWS: Familiarity with core services for building secure and scalable data platforms. Data & AI Leadership: Demonstrated ability to design data solutions that integrate advanced AI/ML components including Generative AI and large language models (LLMs). Communication & Leadership: Strong presentation, stakeholder management, and team leadership capabilities. Able to lead multi-disciplinary teams and engage with executive-level clients. Problem-Solving & Strategic Thinking: Ability to address complex business problems with innovative and scalable data solutions. Education: Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field. Preferred Qualifications: Certifications in AWS, Azure, GCP, Snowflake, or Databricks. Exposure to Agentic AI, intelligent automation, and emerging AI trends. Key Skills: Cloud Architecture | Data Engineering | Azure | GCP | AWS | Data Lakes | Data Warehousing | GenAI | LLMs | Solution Design | Pre-Sales | AI/ML Integration | Big Data | Client Engagement | Strategic Leadership Show more Show less