PETADATA
Azure Solution Architect
Location: Mount Laurel, NJ – Hybrid (2 days onsite/week)
Experience: 12+ years
Work Type: W2/C2C
Primary Skills: Solutions Architecture, Data Modeling, Azure, Databricks, PySpark
Responsibilities
Design scalable, secure, and high-performance cloud solutions on Microsoft Azure services
Design large-scale data processing and analytics solutions using Azure Databricks
Develop comprehensive architecture blueprints and technical documentation for data solutions
Lead the implementation of Databricks-based solutions, ensuring alignment with best practices and business requirements
Lead Data Mesh/Data products architecture building in Databricks-based solutions
Provide technical leadership and guidance throughout the project lifecycle
Collaborate with stakeholders to gather requirements and translate them into technical solutions
Design and implement CI/CD pipelines using Azure DevOps
Ensure robust security measures are in place, including identity management, encryption, and network security
Optimize cloud resources for performance, cost, and reliability
Stay updated with the latest Azure services, features, and industry trends
Requirements
Bachelor's degree in computer science, Engineering, or a related field
10-15 years of experience in data engineering or a related field
Extensive experience with Databricks and Apache Spark
Strong knowledge of SQL and experience with relational databases
Experience with cloud platforms, especially in Azure
Strong experience with data warehousing solutions (e.g., Delta Lake, Lakehouse)
Understanding of data governance and security best practices
Excellent problem‑solving skills and attention to detail
Strong communication and teamwork skills
Education
Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
Contact Candidates required to attend Phone/Video Call/In person interviews. After selection, the candidate should go through background checks on education and experience. Please email your resume to
keshini@petadata.co . After reviewing your experience and skills, one of our HR team members will contact you on the next steps.
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Experience: 12+ years
Work Type: W2/C2C
Primary Skills: Solutions Architecture, Data Modeling, Azure, Databricks, PySpark
Responsibilities
Design scalable, secure, and high-performance cloud solutions on Microsoft Azure services
Design large-scale data processing and analytics solutions using Azure Databricks
Develop comprehensive architecture blueprints and technical documentation for data solutions
Lead the implementation of Databricks-based solutions, ensuring alignment with best practices and business requirements
Lead Data Mesh/Data products architecture building in Databricks-based solutions
Provide technical leadership and guidance throughout the project lifecycle
Collaborate with stakeholders to gather requirements and translate them into technical solutions
Design and implement CI/CD pipelines using Azure DevOps
Ensure robust security measures are in place, including identity management, encryption, and network security
Optimize cloud resources for performance, cost, and reliability
Stay updated with the latest Azure services, features, and industry trends
Requirements
Bachelor's degree in computer science, Engineering, or a related field
10-15 years of experience in data engineering or a related field
Extensive experience with Databricks and Apache Spark
Strong knowledge of SQL and experience with relational databases
Experience with cloud platforms, especially in Azure
Strong experience with data warehousing solutions (e.g., Delta Lake, Lakehouse)
Understanding of data governance and security best practices
Excellent problem‑solving skills and attention to detail
Strong communication and teamwork skills
Education
Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
Contact Candidates required to attend Phone/Video Call/In person interviews. After selection, the candidate should go through background checks on education and experience. Please email your resume to
keshini@petadata.co . After reviewing your experience and skills, one of our HR team members will contact you on the next steps.
#J-18808-Ljbffr