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2 days ago
We are seeking an experienced Data Architect to contribute to our organization. This key role involves designing and implementing scalable, secure, and efficient data solutions that meet client requirements.
Key Responsibilities:- 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.
- Staying up-to-date with the latest Databricks features, best practices, and industry trends, and sharing knowledge with the team.
- 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.
Good to Have:
- 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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