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Senior Databricks Administrator

Morgan Stanley

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Morgan Stanley

Senior Databricks Administrator

Onsite Alpharetta, GA, United States Full Time Mid-Level
Posted a day ago
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Job Details

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.


What you'll bring to the role:

  • 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


Preferred Skills:

  • 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

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Learn more about Morgan Stanley
Required Skills
  • Terraform
  • Python
  • Java
  • Cloud Networking
  • Azure
  • AWS
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