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Solution Architect (Data, AI, Analytics, Software Engineering & Digital Experience)

Summary

Designs end-to-end solutions spanning data, AI/ML, analytics, and digital platforms, setting architecture standards and guiding engineering teams.

Solution Architect (Data, AI, Analytics, Software Engineering & Digital Experience)

We are looking for a highly skilled and versatile Solution Architect to join our growing team. In this role, you will drive end-to-end architecture across multiple domains including Data, AI, Analytics, Software Engineering, and Digital Experience. You will play a critical role in designing scalable, innovative, and business-aligned technology solutions.

Key Responsibilities:

  • Design and implement end-to-end solutions across Data, AI/ML, Analytics, and Digital platforms
  • Collaborate with business stakeholders, engineering teams, and leadership to translate business needs into technical solutions
  • Define architecture standards, best practices, and governance frameworks
  • Lead solution design discussions, technical reviews, and architecture approvals
  • Ensure scalability, security, performance, and reliability of solutions
  • Drive cloud adoption and modern architecture patterns (microservices, serverless, API-first, etc.)
  • Provide technical leadership across software engineering and platform development teams
  • Evaluate emerging technologies and recommend innovative solutions
  • Work closely with delivery teams to ensure successful implementation

Preferred Qualifications:

  • Certifications in cloud platforms (AWS/Azure/GCP)
  • Experience working in enterprise-scale environments
  • Exposure to DevOps, CI/CD practices, and containerization (Docker/Kubernetes)
  • Familiarity with modern data tools (Snowflake, Databricks, etc.)
  • Proven experience as a Solution Architect or similar role across multiple domains
  • Strong expertise in cloud platforms (AWS, Azure, or GCP)
  • Experience in Data Architecture, Data Engineering, and Analytics platforms
  • Knowledge of AI/ML solutions and frameworks
  • Solid background in Software Engineering, including microservices architecture and APIs
  • Experience with Digital platforms, customer experience solutions, or front-end ecosystems
  • Strong understanding of system integration, security, and scalability
  • Excellent stakeholder management and communication skills

Benefits

  • 8% PF
  • Fuel Allowance
  • OPD
  • IPD
  • Annual Performance Based Bonus
  • Annual Increment
  • Weekly Lunch

See also

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