Cloud Solution Architect

10 years of experience in Solution Architecture, Enterprise Architecture, or related roles.
Strong expertise in designing end-to-end solutions, including cloud, on-premise, and hybrid environments.
Extensive experience with Hadoop (Cloudera), Big Data technologies
Strong foundation in data modeling, distributed computing, and strong analytical and problem-solving skills.
Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka)
Experience with Spark programming (Pyspark, Scala, Java)
Proficiency in microservices, API-driven, and event-based architectures for scalable and resilient systems.
Strong understanding of data architecture, data integration, and data management in enterprise solutions.
Hands-on experience with modern development frameworks, DevOps tools, and CI/CD pipelines.
Deep knowledge of enterprise security, identity & access management, and compliance frameworks.
Experience designing distributed systems, high-performance computing, and containerized applications.
Proficiency in working with databases, including SQL, NoSQL, and cloud-based data storage solutions.
Familiarity with project tools like GitHub, JIRA, Confluence, and collaboration frameworks.
Hands on data visualization experience in Tableau or Power BI, preferred.
Excellent communication skills, capable of articulating complex technical solutions to both technical and business stakeholders.

Design scalable, high-performance, and cost-effective solution architectures for enterprise applications across on-premise and cloud platforms, ensuring alignment with business objectives.
Define architectural frameworks, patterns, and best practices to integrate data, applications, and services across distributed systems.
Collaborate with product managers, business stakeholders, and technology teams to understand business problems, define technical requirements, and recommend the best-fit technology stack.
Develop end-to-end solution architectures that incorporate security, performance, scalability, and maintainability across the enterprise ecosystem.
Lead the design and implementation of event-driven, API-first, and microservices-based architectures for real-time data processing and system interoperability.
Identify opportunities for legacy system modernization, technology consolidation, and migration to strategic architecture.
Collaborate with software engineers, data engineers, and DevOps teams to ensure seamless implementation of designed architectures.
Define and enforce architectural governance, compliance, and security best practices to ensure system integrity and data protection.
Stay ahead of emerging technologies and industry trends, evaluating their applicability for enterprise solutions.
Promote best practices in application modernization, and digital transformation.