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5 days ago
The role of Data Architect is pivotal in designing and implementing efficient Databricks solutions, developing data pipelines, architecting data lakes, and implementing data warehousing solutions using Databricks.
As a Data Architect, you will collaborate with data scientists and analysts to develop and deploy machine learning models and analytics solutions on Databricks. Key responsibilities include:
- Designing and implementing scalable, secure, and efficient Databricks solutions
- Developing data pipelines, architecting data lakes, and implementing data warehousing solutions using Databricks
- Collaborating with data scientists and analysts to develop and deploy machine learning models and analytics solutions on Databricks
- Optimizing Databricks cluster performance, ensuring efficient resource utilization and cost-effectiveness
- Implementing Databricks security features, ensuring data governance, and maintaining compliance with industry regulations
- Working closely with clients to understand their business requirements, providing technical guidance, and delivering high-quality Databricks solutions
For this role, we are seeking an experienced professional with:
- 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
We also value preferred qualifications, which include:
- Databricks Certified Professional or similar certifications
- Experience working with cloud platforms such as AWS, Azure, or GCP
- Knowledge of machine learning concepts and experience with popular ML libraries
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