Senior Specialist

Company:

Marsh

Description:

Lead Engineer – Vulcan Platform Team

Job Summary

We are seeking a highly capable and experienced Lead Engineer to join the Vulcan Platform Team. This role will provide technical leadership in the design, delivery and optimisation of platform and data engineering capabilities that underpin scalable, secure and reliable data products across the organisation.

The successful candidate will bring strong experience in cloud-native engineering , with particular depth in AWS and Databricks or similar Data lakehouse technologies and will be comfortable leading engineers whilst remaining hands‑on in architecture, design and delivery. This role is ideal for someone who enjoys shaping engineering standards, improving platform capabilities, and working closely with cross‑functional teams to enable high‑quality, governed and performant data solutions.

The Lead Engineer will play a key role in advancing the Vulcan platform, ensuring it meets current and future business needs through robust engineering practices, automation, observability, and continuous improvement.

Key Responsibilities

Technical Leadership

• Lead, coach and mentor engineers within the Vulcan Platform Team, fostering a culture of engineering excellence, collaboration and continuous learning.
• Provide hands‑on technical leadership across platform design, software engineering practices and delivery execution.
• Set and uphold engineering standards, including code quality, testing, documentation, CI/CD, and operational support.
• Support technical decision‑making, architecture reviews and prioritisation of platform improvements in line with strategic objectives.
• Work closely with product, architecture, security and business stakeholders to translate requirements into scalable engineering solutions.

Platform Engineering & Architecture

• Design, build and maintain scalable, resilient and secure platform capabilities using AWS and Databricks.
• Lead the development of reusable platform services, patterns and frameworks that accelerate delivery for data and engineering teams.
• Drive the design and implementation of modern data and platform architectures, including lakehouse‑oriented and event‑driven patterns where appropriate.
• Ensure platform solutions are designed for reliability, performance, maintainability and cost‑efficiency.
• Champion automation and infrastructure‑as‑code approaches to improve consistency, deployment speed and operational control.

Data & Pipeline Enablement

• Oversee the design and implementation of robust data pipelines, ingestion frameworks and transformation workflows.
• Support the development of scalable data processing solutions leveraging Databricks , Spark , and AWS‑native services.
• Ensure high standards of data quality, observability, lineage and operational supportability across platform components.
• Partner with data consumers, product teams and domain teams to enable effective use of shared platform capabilities.
• Contribute to the evolution of platform services that support governed, self‑service and reusable data product delivery.

Cloud, Security & Operational Excellence

• Utilise AWS services such as S3, Lambda, Glue, Step Functions, RDS, IAM, CloudWatch and related tooling to build and optimise platform services.
• Ensure security, compliance and governance requirements are embedded into engineering solutions by design.
• Improve monitoring, alerting, logging and incident response processes to strengthen platform reliability and service performance.
• Support cost management and optimisation across cloud infrastructure and workloads.
• Work with enterprise and security teams to ensure alignment with Marsh technology standards and risk controls.

Innovation & Continuous Improvement

• Stay current with developments across AWS, Databricks and modern engineering practices, identifying opportunities to improve platform capability.
• Evaluate and introduce tools, frameworks and practices that enhance productivity, reliability and scalability.
• Lead initiatives to improve developer experience, release processes, testing strategies and operational maturity.
• Promote a culture of continuous improvement through retrospectives, feedback loops, metrics and engineering best practice.

Qualifications

Education

• Bachelor’s degree in Computer Science, Engineering, Information Technology or a related discipline, or equivalent practical experience.

Experience

• Significant experience in software engineering, platform engineering or data engineering