Technical Architect: Databricks

1 week ago


indore, India Impetus Technologies Full time
  • Overall 8-14 yrs. of Data Engineering experience with 4+ years of hands on experience in Databricks.
  • Proven experience as a Databricks Architect or similar role with a deep understanding of the Databricks platform and its capabilities.
  • Analyze business requirements and translate them into technical specifications for data pipelines, data lakes, and analytical processes on the Databricks platform.
  • Design and architect end-to-end data solutions, including data ingestion, storage, transformation, and presentation layers, to meet business needs and performance requirements.
  • Lead the setup, configuration, and optimization of Databricks clusters, workspaces, and jobs to ensure the platform operates efficiently and meets performance benchmarks.
  • Manage access controls and security configurations to ensure data privacy and compliance.
  • Design and implement data integration processes, ETL workflows, and data pipelines to extract, transform, and load data from various sources into the Databricks platform.
  • Optimize ETL processes to achieve high data quality and reduce latency.
  • Monitor and optimize query performance and overall platform performance to ensure efficient execution of analytical queries and data processing jobs.
  • Identify and resolve performance bottlenecks in the Databricks environment.
  • Establish and enforce best practices, standards, and guidelines for Databricks development, ensuring data quality, consistency, and maintainability.
  • Implement data governance and data lineage processes to ensure data accuracy and traceability.
  • Mentor and train team members on Databricks best practices, features, and capabilities.
  • Conduct knowledge-sharing sessions and workshops to foster a data-driven culture within the organization.
  • Will be responsible for Databricks Practice Technical/Partnership initiatives.
  • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.


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