Data Architect- Databricks

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Position

 

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Purpose of the Position:

Design and optimize cloud-native data architectures on platforms like Databricks and Snowflake, enabling scalable data engineering, advanced analytics, and AI/ML solutions aligned with business needs.

 

Key Result Areas and Activities:

  • Design and implement Lakehouse architectures using Databricks, Delta Lake, and Apache Spark.
  • Lead the development of data pipelines, ETL/ELT processes, and data integration strategies.
  • Collaborate with business and technical teams to define data architecture standards, governance, and security models.
  • Optimize performance and cost-efficiency of Databricks clusters and jobs.
  • Provide technical leadership and mentorship to data engineers and developers.
  • Integrate Databricks with cloud platforms (Azure, AWS, or GCP) and enterprise systems.
  • Evaluate and recommend tools and technologies to enhance the data ecosystem.
  • Ensure compliance with data privacy and regulatory requirements.
  • Contribute to proposal and pre sales activities.

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