REMOTE AWS Solution Architect exp with Databricks
REMOTE
AWS Solution Architect exp with Databricks
Duration: 12+Months
Please send the resume to .
Architecture & Design
∙Define and design end-to-end data lakehouse architecture leveraging Databricks,
Delta Lake, and cloud-native services.
∙Create reference architectures for batch, real-time, and streaming data pipelines.
∙Architect data ingestion, curation, storage, and governance frameworks.
∙Ensure the platform is scalable, secure, and optimized for performance and cost.
∙Establish standards for data lineage, metadata management, and compliance.
∙Work with enterprise architects to align Databricks solutions with overall cloud
strategy (AWS).
Leadership & Delivery
∙Lead and mentor a team of data engineers in building robust data pipelines.
∙Collaborate with data scientists, BI teams, and business stakeholders to enable
advanced analytics and AI/ML use cases.
∙Drive adoption of DevOps and CI/CD practices for data engineering.
∙Review designs and solutions to ensure adherence to architectural principles.
Implementation & Optimization
∙Build, optimize, and manage large-scale PySpark/SQL pipelines in Databricks.
∙Enable real-time data processing through Kafka, Kinesis, or Event Hubs.
∙Implement security best practices including RBAC, data masking, and encryption.
Thanks
Charan
Apply tot his job
Apply To this Job
AWS Solution Architect exp with Databricks
Duration: 12+Months
Please send the resume to .
Architecture & Design
∙Define and design end-to-end data lakehouse architecture leveraging Databricks,
Delta Lake, and cloud-native services.
∙Create reference architectures for batch, real-time, and streaming data pipelines.
∙Architect data ingestion, curation, storage, and governance frameworks.
∙Ensure the platform is scalable, secure, and optimized for performance and cost.
∙Establish standards for data lineage, metadata management, and compliance.
∙Work with enterprise architects to align Databricks solutions with overall cloud
strategy (AWS).
Leadership & Delivery
∙Lead and mentor a team of data engineers in building robust data pipelines.
∙Collaborate with data scientists, BI teams, and business stakeholders to enable
advanced analytics and AI/ML use cases.
∙Drive adoption of DevOps and CI/CD practices for data engineering.
∙Review designs and solutions to ensure adherence to architectural principles.
Implementation & Optimization
∙Build, optimize, and manage large-scale PySpark/SQL pipelines in Databricks.
∙Enable real-time data processing through Kafka, Kinesis, or Event Hubs.
∙Implement security best practices including RBAC, data masking, and encryption.
Thanks
Charan
Apply tot his job
Apply To this Job