Solutions Architect

6 days ago

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Description

β€’ Design and implement data-driven solutions using Databricks. β€’ Collaborate with stakeholders across teams for innovation. β€’ Provide technical guidance in Spark, Python, and SQL. β€’ Optimize Databricks jobs for performance and cost efficiency. β€’ Implement data governance and security best practices. β€’ Educate teams on effective use of Databricks.

Requirements

β€’ 5+ years of experience in data engineering, architecture, or analytics roles. β€’ Expertise with the Databricks platform, including cluster management, Delta Lake, and MLFlow. β€’ Proficiency in Spark, Python, SQL, and ETL frameworks. β€’ Experience with cloud platforms (e.g., AWS, Azure, or GCP) and their integration with Databricks. β€’ Strong understanding of data warehousing concepts, big data processing, and real-time analytics. β€’ Excellent communication and interpersonal skills, with the ability to work across technical and non-technical stakeholders. β€’ Experience with data visualization tools like Tableau, Power BI, or similar. β€’ Familiarity with machine learning frameworks and libraries. β€’ Knowledge of DevOps practices and CI/CD pipelines for data platforms.

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