Senior Data Platform Engineer
About the job
The Role
We are seeking a remote Senior Data Engineer - Data Platform to help design, build, and operate a modern, secure, cloud‑native data platform supporting healthcare analytics and external data products. This role focuses on enterprise‑scale data engineering, governance, and platform reliability in highly regulated environments.
This is a hands‑on, high‑ownership role with close collaboration across software engineering, analytics, data science, and business teams. You will influence data architecture decisions and play a critical part in how data is delivered, secured, and consumed across the organization.
Key Responsibilities
- Design and implement scalable data warehouse and lakehouse solutions using Databricks
- Build and evolve enterprise‑level medallion architectures optimized for performance and reliability
- Architect, build, and maintain batch and near‑real‑time data pipelines
- Develop ETL/ELT workflows using SQL, Python, Scala, Delta Live Tables, and cloud‑native tooling
- Manage ingestion and transformation of large‑scale structured and unstructured healthcare datasets
- Configure and maintain enterprise data governance, lineage, and data quality frameworks
- Implement strong data security controls for sensitive, identified, and de‑identified PHI/PII data
- Design and maintain standardized data models aligned with healthcare frameworks (e.g., FHIR, OMOP)
- Partner with engineering, analytics, data science, and business stakeholders to gather requirements and deliver solutions
- Build infrastructure‑as‑code using Terraform and support cloud platform deployments
- Support data platform migrations and integrations using tools such as Fivetran and custom solutions
- Monitor, optimize, and improve pipeline reliability, performance, and cost efficiency
- Develop analytics‑enablement tools that help internal teams accelerate insights and product innovation
- Identify and implement platform and process improvements through automation and architectural enhancements
Required Experience & Skills
- 5+ years of experience designing and building enterprise data platforms (data warehouses, data lakes, or data products)
- Advanced hands‑on experience with Databricks and AWS‑based data solutions
- Strong experience with relational and non‑relational databases (e.g., PostgreSQL, SQL Server, MongoDB)
- Experience managing large, multi‑source healthcare datasets (structured and unstructured)
- Expertise in building, monitoring, and optimizing data pipelines and ETL frameworks
- Experience with data security, governance, performance tuning, and release management
- Familiarity with healthcare interoperability standards (FHIR, C‑CDA, HL7)
- Knowledge of clinical vocabularies and ontologies (ICD‑10, SNOMED, LOINC, RxNorm, NDC)
- Experience deploying infrastructure‑as‑code using Terraform and Git‑based workflows
Preferred Background
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
- Experience working within health insurance or life sciences domains
- Exposure to regulated environments requiring strong data privacy and compliance practices
- Cloud architecture or solution certifications (AWS and/or Azure)
FAQs
Congratulations, we understand that taking the time to apply is a big step. When you apply, your details go directly to the consultant who is sourcing talent. Due to demand, we may not get back to all applicants that have applied. However, we always keep your CV and details on file so when we see similar roles or see skillsets that drive growth in organisations, we will always reach out to discuss opportunities.
Yes. Even if this role isn’t a perfect match, applying allows us to understand your expertise and ambitions, ensuring you're on our radar for the right opportunity when it arises.
We also work in several ways, firstly we advertise our roles available on our site, however, often due to confidentiality we may not post all. We also work with clients who are more focused on skills and understanding what is required to future-proof their business.
That's why we recommend registering your CV so you can be considered for roles that have yet to be created.
Yes, we help with CV and interview preparation. From customised support on how to optimise your CV to interview preparation and compensation negotiations, we advocate for you throughout your next career move.