Senior Databricks Platform Manager
4 weeks ago
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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