We are seeking an experienced Cloud Architect with 10 to 17 years of experience in Big Data, Cloud Architecture, Data Engineering, and Generative AI solutions.

The ideal candidate will be responsible for designing and delivering scalable cloud-native data platforms, defining enterprise architecture standards, and driving digital transformation initiatives.

This role requires strong expertise in AWS, Azure Data Factory, Data Mesh Architecture, Data Vault Modeling, Data Integration, and modern AI-driven data ecosystems.

Key Responsibilities:

- Design and architect scalable Big Data and Cloud-based solutions aligned with business and technology objectives.

- Define end-to-end data architecture, integration strategies, and cloud transformation roadmaps.

- Develop architectural blueprints, solution designs, and technology frameworks for enterprise data platforms.

- Lead cloud modernization and migration initiatives across AWS and hybrid cloud environments.

- Design and implement Data Mesh architectures to enable domain-driven data ownership and self-service analytics.

- Develop data models and Data Vault architectures to support enterprise reporting, analytics, and governance requirements.

- Architect data integration solutions leveraging Azure Data Factory and other ETL/ELT technologies.

- Provide technology consulting, effort estimation, solution sizing, and architectural guidance for multiple projects.

- Collaborate with business stakeholders, engineering teams, and enterprise architects to define scalable and future-ready solutions.

- Evaluate and integrate Generative AI capabilities into data and analytics platforms.

- Define best practices for performance optimization, security, scalability, reliability, and governance.

- Support CI/CD implementation, automation, and DevOps adoption across cloud and data platforms.

- Conduct architecture reviews, technical assessments, and solution governance activities.

- Contribute to organizational capability building, thought leadership, innovation initiatives, and technology strategy development.

- Mentor engineering teams and guide technical decision-making across projects.

Required Skills & Experience:

- 1017 years of experience in Cloud Architecture, Big Data, Data Engineering, or Enterprise Architecture.

- Strong experience architecting enterprise-scale Big Data and Cloud solutions.

- Expertise in AWS Architecture and cloud-native solution design.

- Hands-on experience with Azure Data Factory (ADF) and cloud-based data integration frameworks.

- Strong understanding of Data Mesh Architecture and domain-oriented data platform design.

- Experience with Data Vault Modeling, dimensional modeling, and enterprise data architecture principles.

- Proven experience in data integration, solution architecture, and enterprise data platform design.

- Strong knowledge of ETL/ELT frameworks, data pipelines, and reporting architectures.

- Experience with CI/CD tools, DevOps practices, and deployment automation.

- Proficiency in Python for data engineering, analytics, automation, or AI-related solutions.

- Exposure to Generative AI technologies, AI-enabled analytics, and modern data ecosystems.

- Strong understanding of architectural design patterns, database design, performance tuning, and system optimization.

- Knowledge of cloud security, governance, scalability, and reliability best practices.

- Ability to evaluate emerging technologies and recommend innovative solutions.

- Excellent problem-solving, analytical, consulting, and stakeholder management skills.

- Strong communication and leadership capabilities with experience working across business and technology teams.