Senior Architect – Integration, Data

17 hours ago

Bengaluru, Karnataka, India Mphasis Ltd Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Senior Principal Enterprise Architect

Job Title: Senior Architect – Integration, Data & AI (AVP Level)

Location: Bangalore, India
Department: Enterprise Architecture, Integration Architecture & Data & AI

Role Overview

We are seeking a visionary and hands-on Senior Architect to lead the design and implementation of enterprise-grade solutions across integration, data platforms, and AI ecosystems. This role will be pivotal in shaping our digital transformation journey, enabling seamless data flow, intelligent automation, and scalable AI capabilities.

Key Responsibilities

Integration Architecture

  • Design and implement enterprise-wide integration strategies using APIs, event-driven architectures, and middleware platforms (e.g., Tibco BW, Apigee, Azure Integration Services)
  • Define integration patterns and standards for REST/SOAP services, microservices, and IoT interfaces
  • Collaborate with cross-functional teams to ensure secure, scalable, and maintainable integration solutions.

AI & ML Solutioning

  • Architect and deliver AI/ML solutions using cloud-native tools (AWS, Azure, Google Cloud, OpenAI, Databricks)
  • Lead development of AI agents, prompt engineering, and RAG (Retrieval-Augmented
  • Partner with product vendors and data scientists to build intelligent applications that solve real-world business problems

Data Architecture

  • Design conceptual, logical, and physical data models for enterprise platforms
  • Lead data governance initiatives, ensuring compliance with privacy regulations and internal standards
  • Optimize data flows, ETL pipelines, and data lake architectures using tools like Apache Flink, Kafka, and SailPoint

Platform Strategy & Leadership

  • Define technical roadmaps for integration and AI platforms aligned with business goals
  • Mentor engineering teams and contribute to open-source and internal knowledge
  • Engage with stakeholders to drive adoption of AI and integration capabilities across the organization

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
  • 15 years of experience in enterprise architecture, with deep expertise in integration, data platforms, and AI.
  • Strong understanding of cloud platforms (AWS, Azure, GCP), data modeling tools (Erwin, dbt), and AI frameworks.
  • Excellent communication and stakeholder management skills.

Preferred Certifications

  • TOGAF, CDMP, Azure/AWS Architect, Oracle Certified Master.

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