Chief Data Engineering Strategist

5 days ago


Alwar, Rajasthan, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Unlock Data Potential with a Leading Consulting Firm

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
Requirements

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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