Data Solutions Architect

Data Solutions Architect

Responsibilities:

• Design and validate technical architecture for data platforms, pipelines, and services that integrate with the enterprise IT stack
• Lead performance tuning, capacity planning, and workload optimization across batch, streaming, and real-time applications
• Establish and maintain CI/CD, infrastructure-as-code, and automated monitoring solutions for data and ML pipelines
• Evaluate emerging data tools and technologies for suitability, interoperability, and compliance with organizational standards
• Conduct research and proof-of-concepts to support innovation, balancing technical feasibility with business value and cost
• Collaborate with cross-functional teams to ensure alignment of data solutions with enterprise priorities
• Drive continuous improvement in data architecture practices to enhance scalability, reliability, and efficiency

Skills Required:

• Bachelor's Degree in either Computer Science, Information Technology, Computer Engineering, or a related technical field
• Preferred certifications include Azure Solutions Architect, Google Cloud Certified – Data Engineer, AWS Certified Big Data or equivalent
• Relevant experience by level: 6-8 years in data engineering or platform development
• Expertise in distributed data platforms such as Snowflake, strong skills in SQL, Python, and cloud-native services (Azure/GCP/AWS); deep knowledge of CI/CD, Terraform, Kubernetes, and container orchestration
• Proven ability to design scalable multi-cloud data solutions for Banking and FInance Domain.