Kingston Technologies Inc

Data Architect

Atlanta, GA, US

8 days ago
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Summary

Job Title: Azure Data Architect

Location: Atlanta, GA (Onsite)

 

Key Responsibilities:

  • Design and develop scalable, robust, and high-performance data & platform architectures using Azure & Databricks
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Lead the design and implementation of data models, data warehouses, data lakes and lakehouse with batch and streaming data
  • Ensure data quality, integrity, and security across all data platforms.
  • Optimize data storage and retrieval processes to improve performance and reduce costs.
  • Develop and maintain ETL processes to integrate data from various sources, incl. streaming data
  • Wrt BFS sector in the US and globally- Implement best practices for data governance, data management, and data lifecycle management.
  • Provide technical leadership and mentorship to junior data architects and data engineers.
  • Stay up-to-date with the latest trends and technologies in data architecture, Azure, data bricks and competing platforms

 

Required Skills and Qualifications:

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • Certified Databricks Data Engineer Professional and accredited Platform Architect
  • Min.14+ years of experience in data architecture, data engineering, or a related role.
  • Extensive experience with Azure data engineering services (e.g., ADF, ADLS, Synapse, Integration services etc)
  • Strong knowledge of data modeling, data warehousing, and ETL processes.
  • Proficiency in SQL and experience with programming languages such as Python or Java.
  • Experience with data governance and data security best practices.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.

 

Preferred Skills:

  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Familiarity with data visualization tools (e.g., Tableau, Power BI)

Note: Only on W2.

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