Databricks Architect

E-Solutions Group - Chicago, IL

Full-time

Chicago, IL

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Data Architect will be an integral part of an Agile team focused on building healthcare applications and implementing new features while adhering to best coding development standards. This role involves designing scalable, high-performance cloud-based solutions using Azure services and Databricks, with a strong emphasis on data security, governance, and compliance.

Responsibilities

• Design and architect scalable, high-performance, and cost-effective cloud-based solutions using Azure services and Databricks.
• Develop comprehensive architecture blueprints that include data pipelines, data warehousing, and advanced analytics solutions.
• Architect and implement big data processing solutions using Databricks, leveraging Apache Spark for data transformation, ETL processes, and machine learning workflows.
• Design data pipelines that handle large-scale data ingestion, processing, and storage.
• Implement data security, data governance, and compliance measures within the Databricks environment using Unity Catalog.
• Work closely with Data engineers, DevOps teams, and other stakeholders to ensure seamless integration of solutions.
• Collaborate with project managers and business analysts to gather and interpret requirements, ensuring technical feasibility and alignment with business objectives.
• Analyze and optimize system performance, identifying bottlenecks and implementing solutions to enhance processing speed and efficiency.
• Implement monitoring tools and strategies to proactively manage the health and performance of the Azure and Databricks environments.
• Ensure that all solutions adhere to security best practices and compliance requirements, including data encryption, access control, and logging.
• Implement strategies to protect sensitive data and ensure compliance with relevant regulations, such as GDPR, HIPAA, etc.
• Demonstrate a deep understanding of Azure services, including Azure Data Factory, Azure Storage, Azure SQL, Azure Functions, etc.
• Show proficiency in Databricks, Apache Spark, and related big data technologies.
• Exhibit strong scripting skills in Python, SQL, and experience with Terraform or CloudFormation.
• Utilize excellent problem-solving skills and the ability to work in a fast-paced environment.
• Have experience with Kubernetes, Docker, and containerized applications.
• Familiarity with data lake architectures, Delta Lake, and advanced analytics solutions.
• Possess a strong understanding of CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC).

Requirements

• Engineering Degree - BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.
• Mandatory skills: AZURE, Medallion Architecture, SQL, Databricks, and Data Lake.