Posted May 2, 2026
Key Responsibilities:
Design, implement, and operate data platform infrastructure on Snowflake and Databricks, ensuring scalability, performance, reliability, and cost efficiency. - Establish platform integrations with AWS services like S3, Glue, Lambda, Kinesis, and IAM to facilitate seamless data flows between cloud storage, data lakes, and analytics platforms. - Implement Infrastructure as Code (Terraform) for Snowflake and Databricks resources, adhering to team standards for modules, state management, and Terraform Enterprise workflows. - Define platform governance and security controls including role-based access control (RBAC), data encryption, network security, audit logging, and compliance with regulatory requirements. - Optimize Snowflake and Databricks configurations for cost and performance by adjusting warehouse/cluster sizing, auto-scaling, caching, partitioning, and query optimization. - Develop CI/CD pipelines for platform infrastructure and data workflows using tools like GitHub, Bamboo, or GitLab. - Collaborate with various teams and stakeholders to define platform requirements and best practices, driving the adoption of DataOps practices and troubleshooting complex platform issues. Qualification Required:
Minimum 7 years of experience in data platform engineering, data infrastructure, or cloud engineering roles. - Hands-on expertise with Snowflake, Databricks, and AWS data services. - Proficiency in Terraform, Python, SQL, and understanding of data engineering concepts. - Strong knowledge of data governance, security, compliance best practices, CI/CD pipelines, and DevOps/DataOps practices. - Excellent communication, collaboration, troubleshooting, and problem-solving skills. Key Responsibilities:
Design, implement, and operate data platform infrastructure on Snowflake and Databricks, ensuring scalability, performance, reliability, and cost efficiency. - Establish platform integrations with AWS services like S3, Glue, Lambda, Kinesis, and IAM to facilitate seamless data flows between cloud storage, data lakes, and analytics platforms. - Implement Infrastructure as Code (Terraform) for Snowflake and Databricks resources, adhering to team standards for modules, state management, and Terraform Enterprise workflows. - Define platform governance and security controls including role-based access control (RBAC), data encryption, network security, audit logging, and compliance with regulatory requirements. - Optimize Snowflake and Databricks configurations for cost and performance by adjusting warehouse/cluster sizing, auto-scaling, caching, partitioning, and query optimization. - Develop CI/CD pipelines for platform infrastructure and data workflows using tools like GitHub, Bamboo, or GitLab. - Collaborate with various teams and stakeholders to define platform requirements and best practices, driving the adoption of DataOps practices and troubleshooting complex platform issues. Qualification Required:
Minimum 7 years of experience in data platform engineering, data infrastructure, or cloud engineering roles. - Hands-on expertise with Snowflake, Databricks, and AWS data services. - Proficiency in Terraform, Python, SQL, and understanding of data engineering concepts. - Strong knowledge of data governance, security, compliance best practices, CI/CD pipelines, and DevOps/DataOps practices. - Excellent communication, collaboration, troubleshooting, and problem-solving skills.
Don't want to apply yourself?
Our team writes your resume, applies for you, preps you for interviews, and negotiates your offer.
Jefferies Financial Group
3 KUBED CONSULTING INDIA PRIVATE LIMITED
svan global consultancy
Browse Jobs
By Role
By City