Director, Data Framework Engineering

☞ GSK

Ver: 104

Dia de atualização: 07-05-2024

Localização: Brentford South East

Categoria: Planejamento / Projetos R & D IT - Software

Indústria: Pharmaceuticals

Tipo de empregos: Full-time

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Conteúdo do emprego

Site Name: UK - Hertfordshire - Stevenage, UK - London - Brentford, USA - California - San Francisco, USA - Pennsylvania - Philadelphia, USA - Pennsylvania - Upper Providence
Posted Date: Jul 27 2021

The mission of the Data Science and Data Engineering (DSDE) organization within GSK Pharmaceuticals R&D is to get the right data, to the right people, at the right time. The Data Framework and Ops team ensures we can do this efficiently, reliably, transparently, and at scale through the creation of a leading-edge, cloud-native data services framework. We focus heavily on developer experience, on strong, semantic abstractions for the data ecosystem, on professional operations and aggressive automation, and on transparency of operations and cost.

The Director, Data Framework Engineering Leads a Group Of Skilled Engineers In Building Modern, Cloud-native Systems For Standardizing And Templatizing Biomedical Data Engineering, Such As
  • Standardized physical storage and search/indexing systems
  • Schema management (data + scientific/technical metadata + versioning + provenance + governance)
  • API semantics and ontology management
  • Standard API architectures
  • Kafka + standard streaming semantics
  • Standard components for publishing data to file-based, relational, and other sorts of data stores
  • Metadata systems
  • Tooling for QA / evaluation

This leader is both a skilled technical contributor/architect AND an effective people manager. They manage the overall portfolio of work of the Data Framework team in partnership with product and project management. They play a significant role in communicating priorities and detailed technical requirements to the Tech org for implementation of underlying components (e.g. infrastructure as code, cloud ops, DevOps, logging / alerting, ...) and in partnering with Tech throughout implementation.

In This Role You Will
  • Take full ownership for the delivery of a "Data Framework" -- a suite of modular, reusable technologies that make it fast and easy to build robust, scalable, production-grade data products and services
  • Align project goals to the overall Data Science and Engineering strategy and objectives
  • Represent the needs of the entire Data Science and Engineering organization (and customers) with the various Tech organizations, and partner with them on delivery
  • Lead team of highly effective Data Framework engineers, including recruitment, development, coaching, guidance
  • Partner with Product and Project functions to guide the Data Framework roadmap, facilitate stakeholder communication and transparency, etc.

The DSDE team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we’re motivated to make this a great place to work. Our leaders will be committed to your career and development from day one.

Why you?

Basic Qualifications

We are looking for professionals with these required skills to achieve our goals:
  • Master’s in Computer Science with a focus in Data Engineering, DataOps, DevOps, MLOps, Software Engineering, etc.
  • 8 plus years relevant job experience (or PhD plus 6 years relevant job experience)
  • Experience with common distributed data tools in a production setting (Spark, Kafka, etc)
  • Experience with specialized data architecture (e.g. optimizing physical layout for access patterns, including bloom filters, optimizing against self-describing formats such as ORC or Parquet, etc)
  • Experience with search / indexing systems (e.g. Elasticsearch)
  • Proven experience with Agile software development and DevOps -forward ways of working
  • Experience writing production Python, Scala, Go, and/or C++
  • Demonstrated experience building reusable components on top of the CNCF ecosystem including Kubernetes (or similar ecosystem)
  • Experience mentoring junior engineers into deep technical expertise and organizational awareness

Preferred Qualifications

If you have the following characteristics, it would be a plus:
  • Experience recruiting and developing highly-talented teams in the Data Engineering, Data Platform, or DataOps spaces
  • Metrics-first mindset

Why GSK?

Our values and expectationsare at the heart of everything we do and form an important part of our culture.

As GSK Focuses On Our Values And Expectations And a Culture Of Innovation, Performance, And Trust, The Successful Candidate Will Demonstrate The Following Capabilities

These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork.
  • Agile and distributed decision-making – using evidence and applying judgement to balance pace, rigour and risk
  • Managing individual and team performance.
  • Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
  • Implementing change initiatives and leading change.
  • Sustaining energy and well-being, building resilience in teams.
  • Continuously looking for opportunities to learn, build skills and share learning both internally and externally.
  • Developing people and building a talent pipeline.
  • Translating strategy into action - a compelling narrative, motivating others, setting objectives and delegation.
  • Building strong relationships and collaboration, managing trusted stakeholder relationships internally and externally.
  • Budgeting and forecasting, commercial and financial acumen.

#GSKDSDE2021

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).

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Data limite: 21-06-2024

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