Data Platform Architect
Atlanta, GA- Onsite
Duration- Long Term
Minimum Education: Bachelor's degree in computer science, information systems, or a related field or an equivalent combination of education and experience.
Minimum Experience: 12+ years of experience developing, implementing and maintaining enterprise policies, procedures and operating standards including preparing agendas, meeting minutes, and follow-up actions for meetings with management. Regular office environment;
Preferred Knowledge, Skills, & Abilities:
12+ years of experience in data engineering, including design, application development, testing, and operational stability.
Advanced proficiency in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Lambda, Databricks and Azure data services.
Proficiency in programming languages such as Python, Java, or Scala for data processing and application development.
Extensive hands-on experience with Databricks, including architecting and managing large-scale data pipelines, optimizing Spark jobs, implementing security and governance controls, and automating workflows. Proven ability to leverage Databricks for advanced analytics, data lakehouse architectures, and seamless integration with AWS or other cloud services.
Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, automated DAB deployments and version control.
Certification on Databricks Data Engineering Associate or Professional.
Azure Certifications.
Proficiency in relational databases (Oracle or SQL Server and ER Data Modeling.
Skilled in writing Oracle SQL queries utilizing DML, DDL
