Managing Engineer – Database, Platform in Belfast

Managing Engineer – Database, Platform in Belfast

Belfast Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
J

At a Glance

  • Tasks: Lead and mentor a team of Database Administrators while managing database platform services.
  • Company: Join a forward-thinking tech company focused on innovation and collaboration.
  • Benefits: Enjoy competitive pay, health perks, remote work options, and growth opportunities.
  • Other info: Dynamic workplace with a focus on continuous improvement and career advancement.
  • Why this job: Make a real impact by driving improvements in database performance and scalability.
  • Qualifications: 5+ years in database roles with strong leadership and technical skills required.

The predicted salary is between 60000 - 80000 Β£ per year.

Responsibilities Manage, mentor, and grow a team of Database Administrators / Platform Engineers (hiring, performance reviews, career development, coaching).

Own the technical roadmap for database platform services (My SQL, Redis, Mongo DB on prem, and Mongo DB Atlas), driving improvements in scalability, availability, performance, and cost.

Lead platform engineering work: installation, configuration, upgrades, automation, backup/restore, patching, capacity planning, and runbooks for production systems.

Design and implement database architecture and operational patterns (sharding/replication strategies, high availability, disaster recovery, backup retention, and failover).

Build and improve CI/CD and automation pipelines for database provisioning, schema changes, migrations, and configuration management.

Partner with product engineering, SRE, security, and cloud teams to define SLAs/SLOs, incident response, root cause analysis, and risk mitigation.

Establish monitoring, alerting, and observability for database health and performance.

Drive proactive incident prevention.

Define and enforce standards, best practices, and governance for database access, security, backups, and compliance.

Participate in design reviews, capacity planning, and product inception to translate feature requirements into scalable data solutions.

Lead post-incident reviews and continuous improvement initiatives to reduce mean time to detect and recover.

Represent the database platform across cross-functional initiatives and influence long-term architecture decisions.

Requirements 5+ years total experience in database administration, data platform engineering, or related roles with 3+ years in a people management or technical leadership capacity.

A minimum of 3+ years of hands-on experience working with Mongo DB, including deployment, optimization, and support of production environments.

Proven experience managing production deployments both on premises and in cloud environments.

Strong understanding of database internals, replication, sharding, performance tuning, and backup/restore strategies.

Proven experience designing and building database solutions, including schema design, data modelling, indexing strategies, query optimization, and implementing scalable, highly available data architectures.

Experience with automation and orchestration tools.

Familiar with CI/CD concepts and tools used to automate schema migrations and platform changes.

Strong incident management experience and ability to lead technical incident response.

Excellent communication skills; ability to partner with vendor, product, SRE, security, and engineering leadership.

ATS Optimization Keywords Hard Skills My SQL Redis Mongo DB database administration database architecture performance tuning schema design data modeling backup/restore strategies automation Soft Skills mentoring technical leadership incident management communication collaboration coaching problem-solving continuous improvement influencing capacity planning #J-18808-Ljbffr

J

Contact Details:

Jobtailor Recruitment Team

We think you need these skills to ace Managing Engineer – Database, Platform in Belfast

Database Administration
MySQL
Redis
MongoDB
Performance Tuning
Schema Design
Data Modelling