Responsibilities & Key Deliverables

• Collaborate with business teams and internal stakeholders to understand business requirements, current technology stack, and objectives for digital initiatives, translating them into technical solutions.
• Lead the evaluation and selection of cloud services, platforms, and tools to support solution implementation.
• Evaluate and recommend appropriate data storage, processing, analytics & data visualisation technologies based on business needs and technical requirements.
• Develop architectural designs, diagrams, and documentation to effectively communicate solution concepts, components, and dependencies.
• Define and facilitate the process for approving architecture principles and standards and grow Enterprise Architect Capability.
• Lead the implementation of data solutions, including data ingestion, transformation, storage, and analytics components.
• Define data governance policies, standards, and best practices to ensure data quality, security, and compliance across multi-cloud environments.
• Work closely with development teams to ensure adherence to architectural standards, best practices, and coding principles.
• Provide guidance and best practices for cloud-native application development, containerization, and microservices architecture.
• Conduct regular reviews and assessments of existing solutions to identify optimization opportunities, improve performance, and enhance security posture.
• Setup DevSecOps to design and implement automated deployment pipelines and continuous integration/continuous delivery (CI/CD) processes.

Experience

• Proven experience (7-10 years) as a Data Architect, Technical Architect, or similar role, with a focus on designing and implementing technical solutions in multi-cloud environments (Azure & AWS must, GCP is good to have).
• Strong proficiency in data modelling, database design, and ETL processes, with expertise in relational and non-relational databases (e.g., SQL, NoSQL).
• Proficiency in Microsoft ecosystem encompassing tools such as PowerBI, Power Apps, RPA, Fabric etc.
• Proficiency in designing and implementing scalable, highly available, and resilient cloud-based solutions.
• Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders effectively.
• Strong analytical and problem-solving skills, with a focus on delivering practical, innovative solutions

Industry Preferred

Qualifications

Bachelor’s degree in Computer Science, Engineering, or related field; Master’s degree preferred

General Requirements