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Senior AI Architect
Devops Full-time 20m ago
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Senior Data Engineer (Databricks & Big Data)
Visa Sponsorship
AI Summary
Lead the design, development, and optimization of scalable data pipelines and lakehouse architectures using Databricks, Apache Spark, and cloud platforms. Drive automation, CI/CD, and performance tuning while ensuring data governance and integration across hybrid environments. Collaborate with cross-functional teams to deliver robust ETL/ELT solutions and enhance data-driven decision-making.
Key Highlights
8+ years of hands-on experience in Data Engineering and Big Data with a focus on Databricks and Apache Spark
Responsibility for end-to-end data pipeline development, performance tuning, and cloud infrastructure automation
Leadership in implementing secure, scalable, and efficient data lakehouse architectures across hybrid environments
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Key Responsibilities
Design, build, and optimize scalable data pipelines using Databricks, Apache Spark, and PySpark
Develop and maintain CI/CD pipelines, automation workflows, and infrastructure-as-code solutions (e.g., Terraform)
Ensure data lakehouse architecture best practices, including Delta Lake, data governance, and security compliance
Technical Skills Required
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Benefits & Perks
Visa sponsorship available
Hybrid work arrangement (Atlanta, GA)
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Nice to Have
Azure Data Factory (ADF) or similar orchestration tools
Kafka or other streaming technologies
Unity Catalog and Databricks security/governance expertise
Job Description
HYBRID - Atlanta GA
Only W2 - No Corp to Corp
Open to Sponsorship
Required Skills & Experience
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