Senior Database Platform Engineer | Asset Management Leader

Compensation

[Up to c. $400k Comp Package | Office-Led Working]

We’re representing a leading global investment manager building a modern database platform for engineering, data and investment teams across a high-performance technology environment. This is a senior hands‑on role focused on SQL Server, Snowflake and Terraform, with ownership across automation, schema‑as‑code, controlled deployments, observability and self‑service database tooling. It suits someone who wants to help move database engineering away from manual administration and into a safer, repeatable, platform‑led model…

• Build and support SQL Server and Snowflake platforms across provisioning, performance, resilience and day‑to‑day reliability
• Automate database infrastructure and lifecycle management using Terraform and code‑defined workflows
• Develop repeatable schema deployment patterns using tools such as Flyway, Liquibase, Atlas or similar
• Improve SQL Server availability, replication, indexing, tuning and security across production environments
• Create CI/CD and Git Ops workflows that make database change auditable, consistent and easier to release
• Build monitoring and observability across database services using tools such as Prometheus, Grafana, Open Telemetry or Loki
• Support migration from legacy database environments into a more standardised internal platform
• Develop self‑service tooling, guardrails and controls that reduce manual work while improving operational safety

• 7+ years’ experience across database engineering, database administration, database platform engineering or closely related infrastructure roles
• Deep SQL Server experience across performance tuning, indexing, Always On Availability Groups, replication and production hardening
• Strong Snowflake experience across data modelling, Snowpipe, dynamic tables, RBAC and cost‑aware platform operation
• Strong Terraform experience for repeatable infrastructure provisioning, configuration and lifecycle management
• Kubernetes exposure, particularly stateful workloads, operators or deployment patterns
• Hands‑on experience with declarative database change, schema versioning, environment promotion and drift control
• Strong Power Shell and/or Python skills for automation, tooling and production problem‑solving
• Experience integrating database workflows into CI/CD, Dev Ops or Git Ops release processes
• A platform engineering mindset, with the ability to build reusable systems rather than rely on manual operational fixes
• (Preferred) PostgreSQL experience across administration, tuning or replication
• (Preferred) Redis experience across caching, pub/sub or persistence patterns
• (Preferred) Exposure to Iceberg, Trino, Airflow, dbt, Click House, PowerBI or Tableau