Lead Data Engineer

Summary

Join Thoughtworks as a Lead Data Engineer and lead the design and implementation of cutting-edge data solutions. You will collaborate with stakeholders, design data architectures, develop data pipelines, and ensure data quality and security. This role requires experience in leading technical solutions, building big data architectures, and working with various data technologies. You will mentor team members and foster strong client relationships. Thoughtworks offers a supportive culture with opportunities for professional development and growth. The position is remote.

Requirements

• Have experience in leading the system design and implementation of technical solutions
• Have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems
• Have a deep understanding of data modeling and experience with modern data engineering tools and platforms
• Have experience in writing clean, high-quality code using the preferred programming language
• 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
• Have experience with data visualization techniques and can communicate the insights as per the audience
• Have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems
• Have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.)
• Understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way
• Be resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives
• Not shy away from risks or conflicts, instead take them on and skillfully manage them
• Coach, mentor and motivate others and aspire to influence teammates to take positive action and accountability for their work
• Enjoy influencing others and always advocate for technical excellence while being open to change when needed
• Be a proven leader with a track record of encouraging teammates in their professional development and relationships
• Understand the importance of relationship building and how it can bring new opportunities to our business

Responsibilities

• Lead and manage data engineering projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration
• Collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality
• Design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
• Create, design and develop intricate data processing pipelines, addressing clients' most challenging problems
• Collaborate with data scientists to design scalable implementations of their models
• Write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines
• Lead and advise clients on how to use different distributed storage and computing technologies from the plethora of options available
• Develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack
• Be responsible for data governance, data security and data privacy to support business and compliance requirements
• Define the strategy for and incorporate data quality into your day-to-day work

Benefits

• There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means 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
• #LI-Remote