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.