Distributed-Database Platform Engineer

We areseekinga highly skilled and motivated Distributed-Database Platform Engineer to join our enterprise computing data infrastructure team overseeing Snowflake/Postgres/Greenplum distributed database platform deployments.

This role is critical in managing and scaling our Snowflake Postgres & Greenplum database platforms globally for over 10K will play a key role in driving modernization automation and performance optimization across ourCloud/On-Premdata-platform ecosystem.

In the Technology division we leverage innovation to build the connections and capabilities that power our Firm enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Production Management & Reliability Engineering position at Director level which is part of the job family responsible for maintaining the stability and reliability of the organizations infrastructure systems ensuring optimal performance and availability to support business operations.

Since 1935 Morgan Stanley is known as a global leader in financial services always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What youll do in the role:

• Design implement and manage large-scale distributed database systems using Snowflake and Postgres.

• Lead the architecture and deployment of database clusters across hybrid cloud environments (AWS Azure).

• Develop andmaintainautomation frameworks for provisioning monitoring and scaling database infrastructure.

• Collaborate with data engineering platform and application teams to ensure high availability security and performance.

• Drive adoption of best practices for schema design query optimization and data lifecycle management.

• Implement robustbackup disaster recovery and compliance strategies.

• Mentor junior engineers and contribute to cross-training initiatives across database technologies.

• Platform Engineering & Operations

  • Architect deploy and manage large-scale distributed database systems usingSnowflakeandPostgreSQL.

  • Ensure high availability disaster recovery andperformancetuning across multi-region deployments.

  • Lead the design and implementation ofmulti-cloud database strategies(AWS Azure).

• Automation & Scalability

  • Build andmaintaininfrastructure-as-codeand automation pipelines for provisioning scaling and monitoring database clusters.

  • Develop self-healing and auto-scaling mechanisms to support dynamic workloads.

• Innovation & Modernization

  • Drive modernization initiatives includingcloud-native database adoptionserverless architecture andAI/ML integration.

  • Evaluate and implement emerging technologies to improve platform efficiency and developer experience.

• Design and Architect AI/ML Solutions:

  • Prior exposure building ML and generative AI solutions using Snowflake Cortex Analyst Search AI-SQL Snowflake ML and Snowpark Container Services.

• Customer Engagement: Conduct workshops discovery sessions and design thinking engagements with client stakeholders.

  • Exposure around training and deployment of AI/ML models for enterprise use cases.

  • Provide expertise on Snowflakes AI/ML features to internal customer teams.

What youll bring to the role:

• Prior expertiseand exposure in PostgreSQL and Snowflake administration and performance tuning.

• Proven experience managing large-scale distributed systems (100K clusters preferred).

• Strong scripting and automation skills (Python Terraform Ansible etc.).

• Experience with CI/CD pipelines and infrastructure-as-code practices.

• Familiarity with cloud-native architectures and services in AWS and Azure.

• Excellent problem-solving communication and collaboration skills
  Familiar with Cloud Based Architectures /Data-Warehousing Platforms prior experience / knowledge in Snowflake Design Patterns and migration workflow would be a plus.

• Operational Experience and Understanding of large-scale Infrastructure-as-a-service Platforms preferred (Azure/AWS) would be a plus

• Prior experience managing /deploying Geo Redundant database using 3rd party cluster manager like Patroni/Golden Gate etc.

• PlatformManagement -Manage andoptimizesnowflakeenvincluding virtualwhsizing query performance tuning cost management & cortex AI service offerings.

• Keep up-to date withthe latestSnowflakeSaaSofferingsthird-partyintegrationsand cloud data warehousing trends to ensure our platformremainscutting-edge.

• Implement and manage datasecurity accesscontrolsandencryption policies to ensure data integrity and compliance with industry standards.

• Knowledge of data governance security and compliance frameworks.

#GLTECH

#LI-LM1

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley we raise manage and allocate capital for our clients helping them reach their goals. We do it in a way thats differentiated and weve done that for 90 years. Our values - putting clients first doing the right thing leading with exceptional ideas committing to diversity and inclusion and giving back - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll 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. Theres 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 into your browser.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion where individuals are hired developed and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate bringing a variety of backgrounds talents perspectives and experiences.

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