
Data Solutions Architect
19 hours ago
A seasoned data architect will play a pivotal role in designing and implementing scalable, secure, and efficient data platforms.
The team specializes in the Databricks ecosystem, empowering clients to harness the full potential of their data.
Key Responsibilities:
- Design and implement Databricks solutions that meet client requirements.
- Develop data pipelines, architect data lakes, and implement data warehousing solutions using Databricks.
- Collaborate with data scientists and analysts to develop and deploy machine learning models and analytics solutions on Databricks.
- Optimize Databricks cluster performance, ensuring efficient resource utilization and cost-effectiveness.
- Implement Databricks security features, ensure data governance, and maintain compliance with industry regulations.
- Work closely with clients to understand their business requirements, provide technical guidance, and deliver high-quality Databricks solutions.
- Stay up-to-date with the latest Databricks features, best practices, and industry trends, and share knowledge with the team.
Requirements:
- 5+ years of experience working with Databricks, including platform architecture, data engineering, and data analytics.
- Proficiency in languages such as Python, Scala, or Java, and experience with Databricks APIs, Spark, and Delta Lake.
- Strong background in data engineering, including data warehousing, ETL, and data governance.
- Proven experience leading technical teams, mentoring junior engineers, and driving technical initiatives.
- Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal stakeholders.
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