Distributed-Database Platform Engineer

We are seeking a 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+ end-users.

You will play a key role in driving modernization, automation, and performance optimization across our Cloud/On-Prem data-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 organization's 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 you’ll 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 and maintain automation 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 robust backup, 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 using Snowflake and PostgreSQL . Ensure high availability, disaster recovery, and performance tuning across multi-region deployments. Lead the design and implementation of multi-cloud database strategies (AWS, Azure).

Automation & Scalability Build and maintain infrastructure-as-code and 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 including cloud-native database adoption , serverless architecture , and AI/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 Snowflake’s AI/ML features to internal customer teams.

What you’ll bring to the role: Prior expertise and 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.

Platform Management - Manage and optimize snowflake env, including virtual wh sizing, query performance tuning, cost management & cortex AI service offerings. Keep up-to date with the latest Snowflake SaaS offerings, third-party integrations and cloud data warehousing trends to ensure our platform remains cutting-edge.

Implement and manage data security, access controls and encryption 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 that’s differentiated – and we’ve 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 - 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. 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.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo .