Senior Databricks Administrator

Morgan Stanley•Edison, NJ

About The Position

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. We advise, originate, trade, manage and distribute capital for governments, institutions and individuals. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. We provide you a superior foundation for building a professional career where you can learn, achieve and grow. Technology is the key differentiator that ensures that we manage our global businesses and serve clients on a market-leading platform that is resilient, safe, efficient, smart, fast and flexible. The Technology division partners with our business units and leading technology companies to redefine how we do business in ever more global and dynamic financial markets. Our sizeable investment in technology results in leading-edge tools, software, and systems. Our insights, applications, and infrastructure give a competitive edge to client's businesses and to our own. Enterprise Technology & Services (ETS) delivers shared technology services for the Firm supporting all business applications and end users. ETS provides capabilities for all stages of the Firm's software development lifecycle, enabling productive coding, functional and integration testing, application releases, and ongoing monitoring and support for over 3,000 production applications. ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of our employees. Application and end user services are delivered on a scalable, secure, and reliable infrastructure composed of seamlessly integrated datacenter, network, compute, cloud, storage, and database services. Organizational Description The Data & Analytics group in the Core Infrastructure at Morgan Stanley provides technologies and platform required to model, provision, transform, analyze, report, visualize, store and protect enterprise data on-prem and in public cloud. The team is responsible for the delivery and operation of these products Job Description We are looking for a Senior Databricks AI Platform SRE to join our Platform SRE team. This role will be critical in designing, building, and optimizing a scalable, secure, and developer-friendly Databricks platform to enable Machine Learning (ML) and Artificial Intelligence (AI) workloads at enterprise scale. You will partner with ML engineer, data scientists, platform teams, and cloud architects to automate infrastructure, enforce best practices, and streamline the end-to-end ML lifecycle using modern cloud-native technologies.

Requirements

Proven experience with Terraform for building and managing infrastructure.
Strong programming skills in Python and Java
Hands-on experience with cloud networking, identity and access management, key vaults, monitoring, and logging in Azure
Hands on experience with Databricks (Workspace management, Clusters, Jobs, MLFlow, Delta Lake, Unity Catalog, Mosaic AI)
Deep understanding of Azure or AWS infrastructure (e.g. IAM, VNets/VPC, Storage, Networks, Compute, Key management, monitoring)
Strong experience in distributed system design, development and deployment using agile/devops practices
Experience with CI/CD pipelines (GitHub Actions, or similar)
Experience implementing monitoring and observability using Prometheus, Grafana or Databricks-native solutions
Good communication skills, excellent teamwork experience, ability to mentor and develop more junior developers, including participating in constructive code reviews
5+ Years of professional experience
Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Nice To Haves

Experience in multi-cloud environments (AWS/GCP) is a bonus
Experience in working in highly regulated environments (finance, healthcare, etc.) is desirable
Experience with Databricks REST APIs and SDKs
Knowledge of MLFlow, Mosaic AC, & MLOps tooling
Working with teams using Scrum, Kanban or other agile practices
Proficiency with standard Linux command line and debugging tools
Azure or AWS Certifications

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