Jobs via Dice
Position
Azure Solution Architect
Location Mount Laurel, NJ (Hybrid: 2 days onsite per week)
Experience 12+ years
Work type W2/C2C
Primary Skills Solutions Architecture, Data Modeling, Azure, Databricks, PySpark
Job Duties
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.
Proficiency in programming languages such as Python.
Strong knowledge of SQL and experience with relational databases.
Experience with cloud platforms, especially in Azure.
Strong 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.
Educational Qualification Bachelor's/ Master's degree in Computer Science, Engineering, or a related field.
Note Candidates required to attend Phone/Video Call / In person interviews and after selection of candidate (He/She) should go through all background checks on Education and Experience.
Contact Please email your resume to:
hr@petadata.com . After carefully reviewing your experience and skills one of our HR team members will contact you on the next steps.
#J-18808-Ljbffr
Location Mount Laurel, NJ (Hybrid: 2 days onsite per week)
Experience 12+ years
Work type W2/C2C
Primary Skills Solutions Architecture, Data Modeling, Azure, Databricks, PySpark
Job Duties
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.
Proficiency in programming languages such as Python.
Strong knowledge of SQL and experience with relational databases.
Experience with cloud platforms, especially in Azure.
Strong 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.
Educational Qualification Bachelor's/ Master's degree in Computer Science, Engineering, or a related field.
Note Candidates required to attend Phone/Video Call / In person interviews and after selection of candidate (He/She) should go through all background checks on Education and Experience.
Contact Please email your resume to:
hr@petadata.com . After carefully reviewing your experience and skills one of our HR team members will contact you on the next steps.
#J-18808-Ljbffr