Lead Technical Consultant ? Level 3 (Data Platform Engineer)
About The Position
Alphanumeric is hiring a Lead Technical Consultant - Level 3 (Data Platform Engineer) to support our client of 20+ years, a global leader committed to improving lives through medical and pharmaceutical innovation. This team operates as a full-stack data and platform engineering organization, spanning product and portfolio leadership, data engineering, infrastructure & DevOps, AI/ML platforms, and advanced analytics environments. Their mission is to transform how scientific and enterprise data is leveraged by: Building next-generation, metadata-driven data platforms to reduce time spent on 'data mechanics', Delivering best-in-class AI/ML environments to accelerate predictive capabilities, Engineering data at scale as a unified, real-time asset, Automating end-to-end data pipelines across high-throughput domains (genomics, multi-omics, etc.), Enabling governance-by-design for internal and external data, Creating domain-specific data products for computational scientists, Supporting full traceability and data provenance, Driving scalable, reusable, and efficient data engineering practices. As a Data Platform Engineer, you will take full ownership of delivering scalable, high-impact data platform solutions - from problem definition through deployment and ongoing operations. You will act as a technical leader and mentor, setting the standard for engineering excellence while contributing hands-on to development. This role requires a strong balance of architecture, coding, platform engineering, and operational excellence.
Requirements
- Strong experience with Google Cloud Platform (GCP) including: Cloud Run, GKE, Cloud Storage, Artifact Registry, IAM
- Advanced Python development (automation, tooling, pipelines)
- Hands-on experience with Docker: Multi-stage builds, image optimization, security best practices
- Experience building and maintaining CI/CD pipelines for containerized environments
- Strong background in debugging and observability: Logging, monitoring, distributed tracing (Cloud Logging, Cloud Monitoring, etc.)
- Proven ability to diagnose and resolve performance issues in cloud-native systems
- Bachelor's degree with 8+ years of experience, or Master's degree with 5+ years of experience
Nice To Haves
- Experience with Nextflow (workflow orchestration)
- Exposure to bioinformatics / genomics / multi-omics / imaging pipelines
- Experience with GCP Batch for large-scale workloads
Responsibilities
- Design, build, and maintain cloud-native data platform solutions
- Develop reusable frameworks and components to accelerate data product development
- Own end-to-end delivery of platform services, including monitoring and optimization
- Implement observability, performance tuning, and reliability improvements
- Define and track metrics to measure platform performance and impact
- Mentor junior engineers and provide technical leadership across projects
- Collaborate cross-functionally with data engineers, scientists, and platform teams
Benefits
- Work on cutting-edge data platforms in life sciences and healthcare
- Contribute to real-world impact in biopharmaceutical development
- Collaborate with top-tier engineering and scientific talent
- Be part of a team driving innovation at scale
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
101-250 employees
