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Lead Data Engineer (GCP) - Remote

Posted 3 weeks ago

Overview

Principal data engineers at Thoughtworks, are strategic leaders who spearhead data engineering initiatives, tackle complex business challenges and uncover transformative insights. They possess a deep understanding of a client's business ecosystem and partner with executives to align technology strategies with business objectives. By contextualizing emerging trends and Thoughtworks' exploration, they expand the impact of data engineering within the client organization.

They draw upon their profound expertise in developing modern data architectures and infrastructure for the management of data applications.

Effective collaboration is paramount, as data engineers adeptly convey their discoveries to both technical and non-technical stakeholders. They stay abreast of industry advancements, ensure data quality and security, and provide mentorship to junior team members.

At Thoughtworks, data engineers leverage their deep technical knowledge to solve complex business problems, making a significant impact on client success.

In Short

  • You will establish a clear vision and direction for the data paradigm/practices, aligning it with the overall business strategy
  • You will collaborate with executive level stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality
  • You will consult on complex data platform programs, synchronizing cross-cutting architectural concerns and providing client-facing technical leadership and guidance as a data subject matter expert
  • You will be responsible to create, design and develop intricate data processing pipelines, addressing clients' most challenging problems
  • You will collaborate with data scientists to design scalable implementation and production of their models
  • You will write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines
  • You will lead and advise clients on how to use different distributed storage and computing technologies from the plethora of options available
  • You will select suitable data modeling techniques, optimize and design physical data models, and comprehend the trade-offs between various data modeling techniques
  • You will design and drive the strategy around data governance, data security and data privacy to support business and compliance requirements
  • You will define the strategy for and incorporate data quality into your day-to-day work

Requirements

  • You have experience in leading the enterprise data strategy, system design and implementation of the technical solutions
  • You have experience in system design using Domain-Driven Design for enterprise organizations with various domains
  • Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems
  • You have a deep understanding of data modeling and experience with modern data engineering tools and platforms, along with cloud warehousing tools
  • You are the type of person who is equally happy coding and leading a team to implement a solution
  • You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting
  • You have experience in designing and developing real-time and low-latency data streaming solutions leveraging leading technologies and industry practices (Cloud and locally hosted)
  • You have experience with data visualization techniques and can communicate the insights as per the audience
  • You have experience in defining and implementing data governance and security policies
  • You have knowledge of MLOps and data science concepts

Benefits

  • There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you.
  • Your career is supported by interactive tools, numerous development programs and teammates who want to help you grow.
  • We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

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