Expert Solutions Architect in Databricks and Cloud Architecture
Lumenalta
Enhance cloud-native data infrastructures as a Solutions Architect. Leverage your expertise in Databricks and AWS to design scalable, high-performance data platforms in a remote role.
In this senior position, you'll take the lead on architecting data solutions with a focus on Databricks as the core technology. You will own key decisions regarding cloud infrastructure, build robust pipelines, and collaborate with stakeholders for alignment and scalability. Your contributions will extend to defining best practices and reviewing design implementations for long-term success.
Key Responsibilities:
• Design and implement data architectures on AWS using Databricks
• Make crucial architectural decisions for cloud infrastructure
• Convert complex business needs into robust technical solutions
• Document best practices for using PySpark, Python, and SQL
• Guide engineering teams in technical matters
Requirements:
• 8+ years of relevant experience in data engineering or solution architecture
• Strong background in enterprise-grade data platform design
• Expertise with Databricks, AWS, PySpark, Python, SQL
• Excellent communication skills with diverse stakeholders
• Fluent English proficiency
Play a pivotal role in advancing cloud-native data architectures while working from anywhere in a supportive, remote setting.
#J-18808-Ljbffr
In this senior position, you'll take the lead on architecting data solutions with a focus on Databricks as the core technology. You will own key decisions regarding cloud infrastructure, build robust pipelines, and collaborate with stakeholders for alignment and scalability. Your contributions will extend to defining best practices and reviewing design implementations for long-term success.
Key Responsibilities:
• Design and implement data architectures on AWS using Databricks
• Make crucial architectural decisions for cloud infrastructure
• Convert complex business needs into robust technical solutions
• Document best practices for using PySpark, Python, and SQL
• Guide engineering teams in technical matters
Requirements:
• 8+ years of relevant experience in data engineering or solution architecture
• Strong background in enterprise-grade data platform design
• Expertise with Databricks, AWS, PySpark, Python, SQL
• Excellent communication skills with diverse stakeholders
• Fluent English proficiency
Play a pivotal role in advancing cloud-native data architectures while working from anywhere in a supportive, remote setting.
#J-18808-Ljbffr
Vacancy posted 4 days ago
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