Enterprise Architect

1 week ago

Bengaluru, India Tech Mahindra Full time

Enterprise Solution Architect with GCP :

with Experience in telecom deliveries leveraging Google Cloud Platform (GCP)

Location: Pune/Bangalore

Notice Period: Immediate/early joiners/1 month /serving Np

Exp : 11+ years


================

Position Overview

We are seeking a dynamic and experienced Enterprise Solution Architect to lead the design and implementation of innovative solutions that align with our organization's strategic objectives. The Enterprise Solution Architect will play a key role in defining the architecture vision, establishing technical standards, and driving the adoption of best practices across the enterprise. The ideal candidate will have a deep understanding of enterprise architecture principles, business processes, and technology trends, with a focus on delivering scalable, flexible, and secure solutions.

Responsibilities

  • Drive client conversations, solutions and build strong relationships with client, acting as a trusted advisor and technical expert.
  • Experienced in laying down Architectural roadmap, guidelines and High Level Design covering E2E lifecycle of data value chain from ingestion, integration, consumption (visualization, AI capabilities), data governance and non-functionals (incl. data security)
  • Experienced in delivering large scale data platform implementations for Telecom clients. Must have Telecom domain understanding.
  • Experienced in implementation of data applications and platform on GCP.
  • Execution of a comprehensive data migration strategy for our telecom client, involving multiple source systems to GCP.
  • Deep dive into client requirements to understand their data needs and challenges. Proactively propose solutions that leverage GCP's capabilities or integrate with external tools for optimal results.
  • Spearhead solution calls with the client, translating complex data architecture and engineering concepts into clear, actionable plans for data engineers.
  • Demonstrate flexibility and adaptability to accommodate evolving needs.
  • Develop a robust data model for the telecom client, ensuring data is organized, consistent, and readily available for analysis.
  • Leverage your expertise in Data, AI, and ML to create a future-proof blueprint for the client's data landscape, enabling advanced analytics and insights generation.
  • Develop architectural principles, standards, and guidelines to ensure consistency, interoperability, and scalability across systems and applications.
  • Lead the design and implementation of end-to-end solutions that leverage emerging technologies and industry best practices to address business challenges and opportunities.
  • Conduct architectural reviews and assessments to validate design decisions, identify risks, and recommend mitigation strategies.
  • Collaborate with vendors, partners, and external consultants to evaluate and select technology solutions that meet business requirements and align with
  • enterprise architecture standards.
  • Drive the adoption of cloud computing, microservices architecture, API management, and other emerging technologies to enable digital transformation and innovation.
  • Communicate the enterprise architecture vision, principles, and roadmap to stakeholders at all levels of the organization, and advocate for architectural decisions and investments.


==================

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Total experience of 18+ years on data analytics implementations. Minimum 10+ years of extensive experience as a Principal Solution Architect or similar senior role.
  • Proven success in leading large-scale data migrations, particularly to GCP.
  • In-depth knowledge of data architecture principles and best practices.
  • Strong understanding of data modeling techniques and the ability to create efficient data models.
  • Experience working with GCP and its various data management services (e.g., BigQuery, Cloud Storage, Dataflow, dbt).
  • Experience with at least one programming language commonly used in data processing (e.g., Python, Java).
  • A demonstrable understanding of Data Science, Artificial Intelligence, and Machine Learning concepts.


Regards,

Priya Aggarwal

7827XXXXXX

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