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Morgan Stanley

Distributed-Database Platform Engineer

Glasgow
Posted 2 days ago
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Distributed-Database Platform Engineer

Distributed-Database Platform Engineer – Director Level (Snowflake/PostgreSQL/Greenplum)

About the Role

We seek a highly skilled and motivated Distributed-Database Platform Engineer to join our enterprise computing data infrastructure team. This critical role will manage global deployments of Snowflake, PostgreSQL, and Greenplum for over 10,000+ end-users, scaling distributed database platforms and driving modernization, automation, and performance optimisation across our hybrid cloud ecosystem.

Part of the Lead Software Production Management & Reliability Engineering job family at Director level, this position ensures the stability, reliability, and optimal performance of critical infrastructure systems that support business operations.

Core Responsibilities

Design & Architecture

  • Lead the architecture and deployment of distributed database systems (Snowflake, PostgreSQL) across hybrid cloud environments (AWS, Azure).
  • Develop and optimise database clusters in multi-cloud environments.
  • Implement and manage geo-redundant database deployments using solutions like Patroni/Golden Gate.
  • Design AI/ML-enabled database solutions with Snowflake (e.g. Cortex Analyst, AI-SQL, Snowpark Container Services, Snowflake ML).
  • Conduct workshops and design thinking sessions with stakeholders to onboard AI/ML solutions.

Platform Engineering & Operations

  • Plan, deploy, and maintain large-scale distributed database systems.
  • Ensure high availability (HA), disaster recovery (DR), and performance tuning across multi-region deployments.
  • Implement cost-optimisation strategies (e.g. virtual warehouse sizing in Snowflake).

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Automation & Scalability

  • Build and maintain infrastructure-as-code (IAC) automation pipelines (Terraform, Ansible).
  • Develop self-healing, auto-scaling mechanisms for dynamic workloads.
  • Manage CI/CD pipelines for database infrastructure.

Innovation & Modernisation

  • Drive adoption of cloud-native architectures, serverless models, and AI/ML integration.
  • Assess emerging technologies to improve platform efficiency.
  • Stay updated on Snowflake SaaS advancements, integrations, and cloud trends.

Security & Compliance

  • Implement robust data security, encryption, and access-control policies.
  • Ensure compliance with data governance and regulatory standards.

Collaboration & Mentorship

  • Partner closely with data engineering, platform, and application teams.
  • Serve as a technical mentor for junior team members.
  • Contribute to cross-functional training on distributed database technologies.

Key Requirements

  • Proven expertise in PostgreSQL and Snowflake administration, with performance tuning experience.
  • Scalable leadership experience managing large databases (preferably 100K+ clusters).
  • Proficiency in Python, Terraform, Ansible, or similar automation tools.
  • Hands-on knowledge of CI/CD pipelines and IAC practices.
  • Experience with multi-cloud architectures (AWS & Azure), including migrations and optimisation.
  • Familiarity with data-warehousing best practices, cloud-native patterns, and Snowflake’s multi-tenancy.
  • Understanding of enterprise security frameworks and compliance requirements.

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Preferred Skills

  • Geo-redundancy & failover experience with third-party solutions.
  • Prior experience using AI/ML database tools (Snowpark, Cortex, etc.).
  • Passion for innovation and continuous learning.

Candidate Benefits at Morgan Stanley

Vision & Values Morgan Stanley champions a client-first philosophy, innovation, diversity, inclusion, and social responsibility across 42 countries. We empower 80,000+ employees with origins from 120 nations, fostering a collaborative, dynamic environment.

Career Growth

  • Supportive, diverse work culture where creativity and impact thrive.
  • Transparent career paths and internal mobility opportunities.

Workplace Flexibility

  • Flexible working arrangements tailored to your needs (see HR team for details).

Global Opportunities

  • Join a data platform team shaping the future of financial innovation.

[For DEI commitments and office locations, visit: Morgan Stanley careers**

"At Morgan Stanley, we provide capital solutions that change lives—and our culture reflects it."

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Skills

Snowflake
PostgreSQL
Greenplum
AWS
Azure
Python
Terraform
Ansible
CI/CD
Infrastructure-as-Code
Distributed Systems
Performance Tuning
AI/ML Integration
Disaster Recovery
Schema Design
Query Optimization

Location

Glasgow, Scotland, United Kingdom

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