Senior Databricks Platform Manager

4 weeks ago


Noida, Uttar Pradesh, India InfoStride Full time
About the Job

We are seeking a highly skilled Senior Databricks Engineer to join our team at InfoStride. As a key member of our data engineering team, you will be responsible for maintaining and building out our Databricks-based platform for our solution teams.

Key Responsibilities:

  • Execution of critical improvements to our Databricks-based data platform to improve overall system usability, data observability, and reduce costs.
  • Support and maintain existing data systems to ensure high system health and usability with improved support to our global teams.
  • Provide expertise and support on data engineering best practices, standards, architectural approaches, and complex technical resolutions.
  • Analyze fault-tolerance and high availability issues, performance, and scale challenges, and solve them.
  • Build robust CD/CI for our platforms to ensure deployment time is reduced.

What We're Looking For:

  • Strong technical communication skills to break down complex technical components and develop documentation.
  • Excellence in quality data pipeline design, development, and optimization to create reliable, modular, secure data foundations.
  • Experience using infrastructure as code (Terraform) in production settings and designing improvements to simplify infrastructure deployments.
  • 2+ years of experience building and/or supporting Databricks-based data platforms; 5+ years of experience building or supporting modern data platform stacks with hands-on experience optimizing data warehouses and workloads at scale.

It's a Plus if You Have:

  • Experience with MLOps and/or developing and maintaining machine learning models and infrastructure.
  • Experience designing and supporting multi-cloud architectures.
  • Experience with data visualization tools and analytics technologies.
  • Interest in mentoring and supporting new developers.

Requirements:

  • Work in the PST time zone (02:30 PM - 11:30 PM).
  • Work from the office (3 days) and from home (2 days).


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