Job Description

Principal Solutions Architect Agivant Technologies

We are seeking a highly experienced Principal Solution Architect to lead the design, development, and implementation of sophisticated cloud-based data solutions for our key clients.

The ideal candidate will possess deep technical expertise across multiple cloud platforms (AWS, Azure, GCP), data architecture paradigms, and modern data technologies. You will be instrumental in shaping data strategies, driving innovation through areas like GenAI and LLMs, and ensuring the successful delivery of complex data projects across various industries.

Key Responsibilities:
Solution Design & Architecture: Lead the architecture and design of robust, scalable, and secure enterprise-grade data solutions, including data lakes, data warehouses, data mesh, and real-time data pipelines on AWS, Azure, and GCP.
Client Engagement & Pre-Sales: Collaborate closely with clients to understand their business challenges, translate requirements into technical solutions, and present compelling data strategies. Support pre-sales activities, including proposal development and solution demonstrations
Data Strategy & Modernization: Drive data and analytics modernization initiatives, leveraging cloud-native services, Big Data technologies, GenAI, and LLMs to deliver transformative business value
Industry Expertise: Apply data architecture best practices across various industries (e.g., BFSI, Retail, Supply Chain, Manufacturing)
Requireme

ntsRequired Qualifications & Skills
Experience: 10+ years of experience in IT, with a significant focus on data architecture, solution architecture, and data engineering. Proven experience in a principal-level or lead architect role
Cloud Expertise: Deep, hands-on experience with major cloud platforms:
Azure: (Microsoft Fabric, Data Lake, Power BI, Data Factory, Azure Purview ), good understanding of Azure Service Foundry, Agentic AI, copi
lotGCP: (Big Query, Vertex.AI, Gemini)
Data Science Leadership: Understanding and experience in integrating AI/ML capabilities, including GenAI and LLMs, into data solutions
Leadership & Communication: Exceptional communication, presentation, and interpersonal skills. Proven ability to lead technical teams and manage client relationships
Problem-Solving: Strong analytical and problem-solving abilities with a strategic minds
Education: Bachelors or masters degree in computer science, Engineering, Information Technology, or a related field

Preferred Qualifications
Relevant certifications in AWS, Azure, GCP, Snowflake, or Databricks
Experience with Agentic AI, hyper-intelligent automation

Role: Solution Architect
Industry Type: IT Services & Consulting
Department: Engineering – Software & QA
Employment Type: Full Time, Permanent
Role Category: Software Development
Education
UG: Any Graduate
PG: Any Postgraduate
Doctorate: Doctorate Not Required