Senior Databricks Platform Engineer
1 month ago
As a Senior Data Platform Engineer at InfoStride, you will play a critical role in maintaining and building out our Databricks-based platform for our solution teams. Your expertise will be essential in identifying meaningful improvements to our infrastructure and pipelines to reduce costs, increase user access without violating HIPAA contracts, and streamline our deployment processes.
Key Responsibilities:- Execution of critical improvements to our Databricks-based data platform to improve overall system usability, improve data observability, and reduce costs.
- Support and maintain existing data systems ensuring high system health & usability with improved support to our global teams.
- Provide expertise and support on the overall 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 to unlock solutions teams' velocity.
- Strong technical communication - ability to break down complex technical components for technical and drive solution resolution and develop documentation for streamlined use.
- Excellence in quality data pipeline design, development, and optimization to create reliable, modular, secure data foundations for the organization's data delivery system from applications to analytics & ML.
- 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 & workloads at scale. (Snowflake, Spark, and AWS experience preferred)
- Experience with MLOps and/or developing and maintaining machine learning models and infrastructure; especially using Databricks.
- Experience designing and supporting multi-cloud architectures. (particularly for ML / AI systems)
- Experience with data visualization tools and analytics technologies. (Looker, Tableau, etc.)
- Degree in Computer Science, Engineering, or related field.
- Experience working within the constraints of HIPAA and data access limitations.
- Interest in mentoring and supporting new developers.
For this role, candidates need to work in the PST time zone (02:30 PM - 11:30 PM) and Work from the Office (3 Days from the office and 2 Days from Home) (Noida). Interested Candidates can directly share their resumes at InfoStride.
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