Senior Lead Infrastructure Engineer - Market Data - AWS / Snowflake
On-siteLondon, England, United Kingdom
Job Summary
Design and maintain critical data distribution systems for third-party market data, encompassing real-time, historical, and AI/ML use cases across on-premises and cloud environments. Analyze complex infrastructure signals using enterprise-authorized AI to validate mitigation options and ensure changes are traceable, auditable, and aligned with resiliency and security expectations. Provide third-level support to operational roles while collaborating with stakeholders to ensure data solutions meet business and regulatory requirements. Balance best-of-breed technologies with cost-effective solutions using Kubernetes, Terraform, AWS, and Snowflake. Lead reuse-first adoption of AI-assisted practices across delivery routines. Communicate clearly with senior management and uphold strong process and control management disciplines within an Agile project environment.
Required Qualifications
- Formal training or certification on infrastructure engineering concepts
- Advanced applied experience in Cloud technologies including Kubernetes, Terraform and AWS
- Data Lake technologies (e.g. Snowflake, Databricks, AWS Glue/Athena, Lake Formation)
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity
- Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations
- Network architecture and protocols
- Programming languages (e.g. Java, Python, C++)
- Market Data / messaging products (e.g. TREP, Vela, RedLine, Bloomberg BPIPE, Solace, AMPS, etc.)
- Market Data vendors and their key products (e.g. Bloomberg, LSEG, Factset, S&P)
- Database technologies and SQL scripting
- Monitoring tools (ITRS Geneos, Dynatrace, Datadog)
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