Senior Consultant | AWS infra | Pune | Engineering | Hybrid Cloud Engineering

Senior Consultant – Data Platform Engineering responsible for designing, implementing, and supporting enterprise‑scale data platform solutions on AWS, Databricks, and Snowflake, ensuring reliability, security, and operational excellence.

• Design, build, and maintain scalable, secure, and high‑performance data platform infrastructure on AWS and Databricks
• Develop reusable platform services, frameworks, and automation capabilities to accelerate data product delivery
• Support implementation of cloud‑native architectures aligned with enterprise data and platform standards
• Contribute to platform modernization initiatives and continuous improvement programs
• Implement and manage common platform patterns and shared services, including auditing, error handling, data lineage, metadata management, monitoring, and security controls
• Integrate between AWS, Databricks, Snowflake, and other enterprise technologies; develop secure, scalable, and efficient data movement and orchestration solutions
• Enable interoperability across data ingestion, transformation, storage, governance, and consumption layers; support API, event‑driven, and batch integration patterns
• Ensure platform reliability, scalability, and operational readiness; implement monitoring, alerting, incident management, and operational support processes
• Apply security best practices, including IAM, encryption, secrets management, and compliance controls
• Identify and implement performance optimization opportunities across platform services and workloads
• Support disaster recovery, resilience, and high‑availability requirements
• Collaborate with Solution Architects, Data Engineers, Platform Engineers, Security teams, and Product Owners to deliver platform capabilities
• Provide technical guidance and mentoring to junior consultants and engineering team members
• Participate in architecture reviews, design discussions, and technology evaluations; contribute to engineering standards, documentation, and operational runbooks

• 7+ years experience in Data Engineering, Cloud Engineering, or Data Platform delivery
• Hands‑on experience with AWS services such as S3, IAM, Lambda, Glue, CloudWatch, KMS, EventBridge, and Step Functions
• Experience designing and administering Databricks‑based data platforms
• Good understanding of Snowflake architecture and integration patterns
• Knowledge of Data Lake, Lakehouse, and modern cloud‑native data platform architectures
• Experience implementing data observability, lineage, auditing, and monitoring solutions
• Hands‑on experience with Infrastructure‑as‑Code (Terraform/CloudFormation) and CI/CD pipelines
• Strong understanding of cloud security, governance, and operational support models
• Experience troubleshooting and optimizing cloud platform performance and reliability