GSK is one of the world’s foremost pharmaceutical and healthcare companies, and we are proud to be part of an industry that improves the lives of others. We embark on a significant transformation journey to support GSK in becoming a top-quartile data-enabled organization.
This is an exciting time to join GSK. We are embracing new data technologies to improve the development, manufacture, and distribution of GSK’s vital products to patients and consumers worldwide. You will be part of a team building a robust data and analytics ecosystem, allowing GSK to drive higher value by placing data at the core of its strategic and operational decisions.
High level job duties for Senior Principal of Data & Analytics Architecture would include –
Data Platforms Engineering & Architecture: Lead the development and evolution of big-data ecosystem and data & AI platforms to enable data processing, storage, and retrieval, including the integration of structured data sources from enterprise transactional systems and trusted third parties and unstructured data sources, including IIoT data from manufacturing sites. Day to day responsibilities will specifically focus on the following -
Collaboration: Engage with global teams from various disciplines to ensure architectural designs meet company objectives and encourage teamwork. Technical Leadership: Provide technical leadership on Data & AI skills and mentorship to junior architects and team member, drive innovation and ensure the adoption of industry best practices. Continuous Learning - Stay up to date with emerging technologies and trends in data engineering, and making recommendations for their adoption wherever appropriate
Qualifications
Bachelor’s or master’s degree in computer science, or a related field. Minimum 16 years of work experience in building and managing data and analytics applications is required. Hands-on experience with data engineering tools such as Databricks, Azure Data Factory, SQL Synapse Experience in Azure administration (or equivalent on AWS or GCP), including provisioning, networking, security, and monitoring of data platform-oriented cloud services. Proficient in automation using DevOps and Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet. Familiarity with various RDBMS, distributed columnar data stores, NoSQL databases including graph databases, time-series databases, data streaming using Kafka, Events Hub, or Kinesis Strong knowledge of FinOps Principles and ability to define and implement FinOps practices for monitoring cloud spend. Knowledge of programming languages like Python, Java, or Scala.
Preferred Qualifications
At GSK we value diversity (Gender, LGBTQ +, PwD etc.) and treat all candidates equally. We aim to create an inclusive workplace where all employees feel engaged, supportive of one another, and know their work makes an important contribution
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).
Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.
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