Data Architect - Azure and Databricks

April 7

Apply Now

Receive Emails with Similar Jobs

Rackspace Technology

WebsiteLinkedInAll Job Openings

Rackspace Technology is a leading provider of managed cloud services, offering a comprehensive range of cloud and application solutions. The company specializes in helping businesses increase efficiency and reliability through cloud adoption, application modernization, and data solutions, leveraging technologies such as AI, machine learning, and next-gen data platforms. They offer a full suite of services including consulting, application modernization, cloud security, and multicloud strategies, tailoring solutions to meet the specific needs of sectors such as healthcare, financial services, and public utilities. Rackspace Technology is known for its expertise in navigating complex cloud environments and providing advanced managed services to optimize performance and ensure compliance.

IT as a Service • Multi-Cloud • Managed Hosting • Managed AWS/Azure/Google Cloud Platform/OpenStack/Alibaba • Managed Private Cloud for VMware/Microsoft/OpenStack

5001 - 10000 employees

Founded 1998

☁️ SaaS

📋 Description

• We are seeking an experienced Data Architect with extensive expertise in designing and implementing modern data architectures. • This role requires strong software engineering principles, hands-on coding abilities, and experience building data engineering frameworks. • The ideal candidate will have a proven track record of implementing Databricks-based solutions in the healthcare industry, with expertise in data catalog implementation and governance frameworks. • As a Data Architect, you will be responsible for designing and implementing scalable, secure, and efficient data architectures on the Databricks platform. • You will lead the technical design of data migration initiatives from legacy systems to modern Lakehouse architecture, ensuring alignment with business requirements, industry best practices, and regulatory compliance. • Design and implement modern data architectures using Databricks Lakehouse platform. • Lead the technical design of Data Warehouse/Data Lake migration initiatives from legacy systems. • Develop data engineering frameworks and reusable components to accelerate delivery. • Establish CI/CD pipelines and infrastructure-as-code practices for data solutions. • Implement data catalog solutions and governance frameworks. • Create technical specifications and architecture documentation. • Provide technical leadership to data engineering teams. • Collaborate with cross-functional teams to ensure alignment of data solutions. • Evaluate and recommend technologies, tools, and approaches for data initiatives. • Ensure data architectures meet security, compliance, and performance requirements. • Mentor junior team members on data architecture best practices. • Stay current with emerging technologies and industry trends.

🎯 Requirements

• Extensive experience in data architecture design and implementation • Strong software engineering background with expertise in Python or Scala • Proven experience building data engineering frameworks and reusable components • Experience implementing CI/CD pipelines for data solutions • Expertise in infrastructure-as-code and automation • Experience implementing data catalog solutions and governance frameworks • Deep understanding of Databricks platform and Lakehouse architecture • Experience migrating workloads from legacy systems to modern data platforms • Strong knowledge of healthcare data requirements and regulations • Experience with cloud platforms (AWS, Azure, GCP) and their data services • Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred