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...