Hi,
Please find the attached JD. Please share details below to process if interested with updated resume.
Job Title: Azure Data Architect with Databricks/PySpark
Location: Plano, TX (Onsite-5 days)
Job Description:
Strong hands-on experience designing and implementing data platforms in Azure and Databricks, including performance tuning, security setup, automation, and data sharing.
Proven experience in designing and implementing data platforms in Azure cloud (knowledge of AWS, Google Cloud Platform clouds will be an additional advantage).
Expertise in SQL, PySpark, data modeling (3NF, star/snowflake schemas) and ELT/ETL design patterns (knowledge of popular ETL tools, including Azure Data Factory).
Proficiency in Python or similar scripting languages for data transformation, orchestration, and automation.
Experience with advanced Databricks features (Unity Catalog, MLflow, Jobs & Pipelines and others).
Deep understanding of cloud data architecture principles, including data Lakehouse concepts, Medallion architecture, API integration, and event-driven architecture.
Comprehensive knowledge of Azure Databricks and Microsoft Fabric architecture, encompassing familiarity with their core components, integration strategies, and established best practices for developing scalable, secure, and efficient data solutions.
Experience with CI/CD and DevOps practices for data workflows (Git, Terraform, Azure DevOps, etc.).
Excellent communication and client-facing skills with the ability to translate business needs into technical solutions.
Proven ability to work collaboratively across multidisciplinary teams.
| Full Name | |
| Current Location (City, State) | |
| Contact Number | |
| Email ID | |
| Visa | |
| LinkedIn: | |
| Total Years of Experience | |
| Education: | |
| Rate: | |
Kapil Kumar| Senior Talent Acquisition Specialist
Amaze Systems Inc
USA: 8951 Cypress Waters Blvd, Suite 160, Dallas, TX 75019
Canada: 55 York Street, Suite 401, Toronto, ON M5J 1R7
D: +1
E: |
USA | Canada | UK | India

Amaze Systems is an Equal Opportunity Employer (EOE), and does not discriminate based on age, gender, religion, disability, marital status, race and also adheres to laws relating to non-discrimination on the basis of national origin and citizenship status.