Solution Data Architect
Location: Mount Laurel, NJ
Duration: FTE
Mode of work: 2-3 days onsite a week
Primary skillset: Technical Architect /Lead | Azure, Databricks, Apache Spark/PySpark, Data Modeling
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.
- 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
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