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Solution Designer

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Onsite

Solution Designer

Heptarc

Solution Designer

Skills

Google Cloud PlatformPythonData ScienceJavaMicroservicesData AnalysisMachine LearningAIdbtDigital Transformation

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

20 September 2026

What they need


Job Description-

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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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