Hiring for Data Architect- Databrick
Summary
Design and implement cloud-based data analytics architectures using Databricks and AWS, leading migration and modernization initiatives while ensuring governance and security.
- Define, develop, and maintain blueprints, roadmaps, and reference architectures for data analytics infrastructure and services.
- Analyze new requirements, develop solutions, and manage solution delivery through acquisition or change control.
- Enhance cloud capability by designing and implementing cloud-based data analytics architectures and patterns.
- Lead data migration and modernization initiatives by leveraging AWS-native services, Databricks, and IDMC.
- Work closely with business leads and system owners to understand solution requirements and identify architectural patterns.
- Develop and implement automation playbooks for managing and scaling cloud services, containers, and applications.
- Ensure compliance with industry best practices, governance, and security guidelines for cloud-based analytics solutions.
- Collaborate with DevOps and other Data Engineering teams to define, implement, and optimize data pipelines, ETL/ELT processes, and data lakes.
- Assist in vendor management to ensure that contracted vendors deliver architecturally scalable and sustainable solutions.