My client are a medical technology company committed to utilizing artificial intelligence and machine learning to transform healthcare delivery. Our mission is to create innovative solutions that enhance patient outcomes, simplify clinical workflows, and maximize resource efficiency across the healthcare system. They are looking for a Senior Data Platform Engineer to join their team.
As a Senior Data Platform Engineer, you will play a key role in designing, maintaining, and scaling our data platform. This platform supports both our product and machine learning teams and is essential for handling national scale transactions. The role will focus on building scalable, secure, and reliable infrastructure to support real-time operations and data-driven products. The ideal candidate will have expertise in relational databases, NoSQL technologies, AWS cloud services, and familiarity with backend development in Python. A key part of this role will involve optimizing SQL queries and database operations to ensure fast, efficient data retrieval and manipulation.
Key Responsibilities:
- Design, deploy, and maintain scalable, high-availability systems on AWS, including data warehouses, data lakes, and large PostgreSQL databases for feature storage and retrieval.
- Work with large datasets using tools like Pandas or Spark for data manipulation and processing.
- Develop and manage FastAPI endpoints to facilitate internal service tools and interfaces.
- Identify and implement improvements in the ML model lifecycle through tools that enhance experimentation.
- Apply best practices in testing, continuous integration, and continuous delivery (CI/CD) to ensure reliable development and deployment of ML services.
- Collaborate closely with platform engineers, ML engineers, and cross-functional teams to bring research solutions into production.
- Ensure adherence to data privacy regulations, enforce cloud security best practices, and provide technical guidance to the team.
Qualifications:
- 3+ years of experience with AWS services (e.g., EC2, RDS, S3, SageMaker, Lambda) and AWS data warehousing and data lake solutions.
- 3+ years of experience working with large relational databases.
- 5+ years of experience with Python API frameworks (e.g., FastAPI, Django, Flask) for building RESTful services and Python libraries like Pandas or Spark.
- AWS certifications such as AWS Solutions Architect or AWS DevOps Engineer.
Preferred Requirements:
- Master’s or Ph.D. in Computer Science, Electrical Engineering, Statistics, or a related discipline.
- Experience with container orchestration technologies like Docker.
- Familiarity with CI/CD pipelines and automation tools such as GitLab.
- Demonstrated expertise in deploying and managing ML models in production using MLOps tools (e.g., MLFlow, TensorBoard, Weights & Biases).
- Strong understanding of cloud security practices, data protection strategies, and AWS cloud computing platforms.
- Proficiency in Python with experience using libraries such as PyTorch and scikit-learn; TensorFlow experience is a plus.
- Proven ability to lead projects from concept to completion, with an emphasis on innovation, impact, and collaboration across multidisciplinary teams.
Benefits:
- Comprehensive salary
- Long term incentives
- 25+ days holiday
- Clear development pathway
Following your application Joe Templeman, a specialist AI Recruiter will discuss the opportunity with you in detail.
He will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available.
This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment.
Please click ‘apply’ or contact Joe Templeman for any further information
Joe Templeman
Recruitment Manager – Barrington James
Email: jtempleman (at) barringtonjames.com