Azure Solution Data Architect_ Mount Laurel, NJ

Overview

Compensation information provided in the description
Full Time

Skills

Azure
Solution Architect
Databricks
Pyspark

Job Details

Hi,

Hope you are doing well!

Pleas have a look below JD & share me, some relevant profile.

Position- Azure Solution Data Architect

Location- Mount Laurel, NJ

Duration: FTE

Expected Salary : $140k - $150k

Mode of work: 4 days onsite a week

Experience Level: 14-15+ years

Need people with very strong Databricks and Pyspark skills with someone worked on Unity Catalog

Primary skillset: Solution Architect, Data Modeling, Azure, Databricks, Pyspark, Unity Catalog

Secondary skillset: SQL, Python, Datawarehouse

Job Description:

  • 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.
  • Lead the implementation of Azure-based solutions, ensuring alignment with best practices and business requirements.
  • 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.
  • 14-15 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

Ravi Kumar

Desk: |Cell-

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.