Enterprise Data Architect

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 clients, 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.