Big Data Cloud Architect

We are seeking an experienced Big Data Cloud Architect with 8–12 years in designing and implementing scalable big data solutions on Azure and AWS. The ideal candidate will have deep hands-on expertise in cloud-based big data technologies, a strong background in the software development life cycle (SDLC), and experience in microservices and backend development.

Key Responsibilities :

Design, build, and maintain scalable big data architectures on Azure and AWS

Select and integrate big data tools and frameworks (e.g., Hadoop, Spark, Kafka, Azure Data Factory, )

Lead data migration from legacy systems to cloud-based solutions

Develop and optimize ETL pipelines and data processing workflows.

Ensure data infrastructure meets performance, scalability, and security requirements.

Collaborate with development teams to implement microservices and backend solutions for big data applications.

Oversee the end-to-end SDLC for big data projects, from planning to deployment.

Mentor junior engineers and contribute to architectural best practices.

Prepare architecture documentation and technical reports.

Required Skills & Qualifications :

Bachelor’s / Master’s degree in Computer Science, Engineering, or related field.

8–12 years of experience in big data and cloud architecture.

Proven hands-on expertise with Azure and AWS big data services (e.g., Azure Synapse, AWS Redshift, S3, Glue, Data Factory).

Strong programming skills in Python, Java, or Scala(9).

Solid understanding of SDLC and agile methodologies.

Experience in designing and deploying microservices, preferably for backend data systems.

Knowledge of data storage, database management (relational and NoSQL), and data security best practices(6).

Excellent problem-solving, communication, and team leadership skills(8).

Preferred Qualifications :

Certifications in AWS and / or Azure cloud platforms.

Experience with Infrastructure as Code (e.g., Terraform, CloudFormation).

Exposure to containerization (Docker, Kubernetes) and CI / CD pipelines.

Familiarity with data analytics, machine learning, and event-driven architectures.

Why Join Us?

• Work with cutting-edge cloud and big data technologies
• Lead impactful, enterprise-scale projects
• Collaborative and innovative team environment

Apply now to drive the next generation of cloud-based big data solutions!