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# Senior Data Platform Engineer

- **Company:** Glaxosmithkline PLC
- **Location:** Cambridge, MA, United States
- **Experience:** Expert
- **Salary:** $157,575.0 - $262,625.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Bash Shell, Cloud Engineering, Continuous Integration, Customer Data Management, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Stores, DevOps, R (Programming Language), Python (Programming Language), Metadata, OnyX for Mac, Open Source Technology, Performance Tuning, Software Engineering, Management of Software Versions, Data Logging, Data Processing, Google Cloud, Integration Tests, Kubernetes, Information Technology, Data Management, Api Design, Data Pipelines, Programming Languages
- **Published:** June 19, 2026
- **Apply:** https://diversityjobs.com/career/17319099/Senior-Data-Platform-Engineer-California-South-San-Francisco

## About the Role

We are looking for professionals with these required skills to achieve our goals:

 * Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience with 8+ years of work experience
 * Proficiency with Python Programming language
 * Experience with public cloud providers like AWS, Azure and GCP
 * Experience with agile software development and DevOsps-forward ways of working

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

 * Advanced Degree
 * Experience building data pipelines with ETL/ELT tools and orchestration frameworks.
 * Knowledge of data modeling, partitioning, and performance tuning for analytical workloads.
 * Knowledge of data governance, access controls, and data quality practices.
 * Prior experience mentoring engineers and collaborating with cross-functional product teams.

#GSKOnyx, #LI-GSK

## Description

The Onyx Research Data Tech organization is GSK's Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right data and insights when they need it to give them a better starting point for and accelerate medical discovery. Ultimately, this helps us get ahead of disease in more predictive and powerful ways.

Onyx is a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:

 * Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics"
 * Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent
 * Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time

We are looking for a skilled and experienced Sr Data Platform Engineer to join our growing team. Data Platform Engineerstake full ownership of delivering high-performing, high-impact data platform as products, and services, froma description of a problem customer Data Engineers are trying to solve all the way through tofinal delivery (and ongoing monitoring and operations). They arestandard bearers for software engineering and quality coding practices within theteam andareexpected to mentor more junior engineers; they may even coordinate the work of more junior engineers on a large project.Theydevise useful metrics ensuring their services are meeting customer demand, having animpact, anditerate to deliver and improve on those metrics in an agile fashion.

The Data Platform team builds and manages reusable components and architectures designed to make it both fast and easy to build robust, scalable, production-grade data products and services in the challenging biomedical data space.

A Sr Data Platform Engineer is a technical individual contributor, buildingmodern, cloud-native systemsfor standardizing and templatizing scientific data analysis and data engineering, such as:

 * Cloud native infrastructure, CI/CD and DevOps (GCP and Azure)
 * Data management and governance (data + metadata + versioning + provenance + governance)
 * High dimensionality and scale scientific data processing and analysis with multi-modality scientific data
 * API semantics andontology management
 * Standard API architecture, implementationand operation
 * Standard streaming semantics and processing
 * Standard components for publishing data tofile-based, relational, and other sorts of data stores
 * Metadata systems
 * Tooling for QA / evaluation, * Given a well-specified data and scientific problem, implement end-to-end solutionsusing appropriate programming languages(e.g. Python,R, bash), open-source tools (e.g.Spark, Nextflow, k8s...), and cloud vendor-provided tools (e.g. gcloud cli, Azure)
 * Leverage tools provided by Tech (e.g.infrastructure as code, cloudOps, DevOps, logging / alerting, ...) in delivery ofsolutions
 * Write proper documentation in code as well as in wikis/other documentationsystems
 * Writefantastic code along withproper unit, functional, and integration tests for code and services to ensurequality
 * Stayup-to-datewith developments in theopen-sourcecommunity around data engineering, data science, and similartooling


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