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

As a Senior Consultant – Data Platform Engineering, you will be responsible for designing, implementing, and supporting enterprise-scale data platform solutions leveraging AWS, Databricks, and Snowflake. You will play a key role in establishing cloud-native platform capabilities, defining reusable engineering patterns, enabling seamless integration across technologies, and ensuring platform reliability, security, and operational excellence.

The role requires strong hands-on technical expertise along with the ability to collaborate with architects, engineering teams, and business stakeholders to deliver scalable and resilient data platform solutions.

Key Responsibilities

Data Platform Engineering

• 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 the implementation of cloud-native architectures aligned with enterprise data and platform standards.
• Contribute to platform modernization initiatives and continuous improvement programs.

Platform Services & Patterns

• Implement and manage common platform patterns and shared services, including:
• Auditing and compliance monitoring
• Error handling and logging frameworks
• Data lineage and traceability capabilities
• Metadata management
• Monitoring and observability solutions
• Security and access management controls
• Ensure consistency, standardization, and reusability across platform components.

Integration & Solution Development

• Design and implement integrations 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 across the enterprise ecosystem.

Reliability, Security & Performance

• Ensure platform reliability, scalability, and operational readiness across development, test, and production environments.
• 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.

Stakeholder Collaboration

• Work closely 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.

Required Skills & Experience

• 7+ years of experience in Data Engineering, Cloud Engineering, or Data Platform delivery.
• Strong 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.