Morgan Stanley
Distributed-Database Platform Engineer
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Distributed-Database Platform Engineer
Distributed-Database Platform Engineer – Lead Position
About the Role
We are seeking a highly skilled and motivated Distributed-Database Platform Engineer to join our enterprise computing data infrastructure team, specialising in overseeing Snowflake, PostgreSQL, and Greenplum distributed database platform deployments.
This is a critical role responsible for designing, managing, and scaling Snowflake, PostgreSQL, and Greenplum environments to support 10K+ end-users globally; ensuring high availability, reliability, and high performance across hybrid cloud environments (AWS, Azure).
This is a Lead Software Production Management & Reliability Engineering position at Director level, comprising:
- Platform engineering & operations
- Automation & scalability
- Modernisation & innovation
At Morgan Stanley, we drive innovation to empower the firm’s global operations, meet client needs, and shape the future of financial services—provided across 40+ countries.
Responsibilities
Design, Architecture & Deployment
- Design, implement, and manage large-scale distributed database systems using Snowflake & PostgreSQL.
- Lead the architecture and deployment of hybrid cloud database clusters (AWS, Azure).
- Lead multi-cloud database strategies while prioritising high availability, disaster recovery, and performance across multi-region deployments.
Automation & Scalability
- Develop and maintain automation frameworks for provisioning, monitoring, and scaling database infrastructure (Terraform, Ansible, Python).
- Build infrastructure-as-code (IaC) and CI/CD pipelines for database automation.
- Create self-healing and auto-scaling solutions to handle dynamic database workloads.
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Modernisation & Innovation
- Drive adoption of cloud-native and serverless architectures, AI/ML integration, and emerging technologies for efficiency gains.
- Contribute to the design of AI/ML solutions applying Snowflake Cortex (AI Analyst, Search, AI-SQL, ML extensions, Snowpark Container Services).
- Enterprise AI/ML delivery:
- Conduct workshops and client workshops for design thinking engagements.
- Evaluate and capture AI/ML use cases for enterprise-grade deployment.
- Provide expertise in Snowflake AI/ML solutions to internal business units.
Cross-team Collaboration
- Partner with data engineering, platform, and application teams to refine schema design, query performance tuning, and lifecycle management.
- Implement compliance frameworks (security, access control, encryption) aligning with industry standards.
Mentorship & Knowledge Sharing
- Mentor junior engineers and facilitate cross-Team learning on database platforms (PostgreSQL, Snowflake, Greenplum, and Hybrid architecture).
Requirements & Qualifications
Key Expertise
- Experience administering Snowflake & PostgreSQL (query optimisation, performance analytics).
- Large-scale distributed system experience (100K+ database clusters preferred).
- Proficiency in database automation (Python, Terraform, Ansible) and cloud-native architectures.
- Experience with CI/CD pipelines and Infrastructure-as-Code (IaC).
- Exposure to ** verändert database deployments & replication technologies** (e.g., Patroni, GoldenGate for geo-redundancy).
- Experience tuning and optimising Snowflake environments, including:
- Virtual warehouse sizing
- Cost management
- Cortex AI/ML offerings
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Technical Advantages
- Strong cloud familiarity (AWS & Azure Infrastructure/Service Accounts).
- Continuous learning of Snowflake’s SaaS/Third-Party integrations and cloud data-resiliency trends.
- Knowledge of data governance, security policies & compliance frameworks.
What You’ll Gain From Morgan Stanley
A complex, employee-centric environment underpinned by Morgan Stanley’s five core values:
- Client First
- Integrity
- Expertise
- Diversity & Inclusion
- Giving Back
You’ll benefit from:
- Opportunities to collaborate alongside global peers with diverse backgrounds and skills.
- Comprehensive benefits & family-friendly policies (including flexible work arrangements).
- World-class training and career development via in-house learning platforms.
Morgan Stanley Retention Commitments
TECH – Flexible Work Offerings
Flexible work arrangements and **hybrid/remote options** are encouraged. Speak to our delivery team for accessibility details:
Flexibility
Morgan Stanley supports employees in aligning **work-life balance** and flexible schedules (please inquire for specifics via our diversity teams).
Equal Opportunity Principles
Morgan Stanley is an Equal Opportunity Employer (EEO). Our teams thrive on diverse perspectives, appointing talent based on skills and potential—regardless of background.
For more information on Morgan’s diversity and inclusion efforts, visit: Morgan Stanley’s DEI Policies
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