Thoughtworks
LeadDataEngineer
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optimal for Lead candidates.
“Lead Data Engineer at Thoughtworks. Skills: Data Engineering, Data Architecture, System Design, Team Leadership. Lead data engineering projects. Manage data engineering projects”
Industry & Context.
Solve business problems
What They're Looking For.
Must Have
Experience in leading system design, Experience in implementation of technical solutions, Created Big Data architecture, Build and operate data pipelines, Maintain data storage, Deep understanding of data modeling, Experience with modern data engineering tools, Experience with modern data engineering platforms, Experience in writing clean code, Experience in writing high-quality code, Built and deployed large-scale data pipelines, Built and deployed data-centric applications, Experience with data visualization techniques, Experience with data-driven approaches, Experience with different types of databases, Stakeholder management, Resilience in ambiguous situations, Ability to adapt role, Ability to approach challenges from multiple perspectives, Risk management, Conflict management, Coaching others, Mentoring others, Motivating others, Influencing teammates, Taking accountability for work, Advocating for technical excellence, Openness to change, Proven leadership track record, Encouraging teammates' professional development, Encouraging teammates' relationships, Relationship building
What You'll Do.
Lead data engineering projects
Manage data engineering projects
Set goals for projects
Ensure on-time project delivery
Collaborate with stakeholders
Understand strategic objectives
Identify data opportunities
Identify data quality opportunities
Design modern data architecture
Develop modern data architecture
Operate modern data architecture
Create data processing pipelines
Design data processing pipelines
Develop data processing pipelines
Address client problems
Collaborate with data scientists
Design scalable model implementations
Leverage continuous delivery practices
Deploy data pipelines
Support data pipelines
Operate data pipelines
Advise clients on technologies
Select modeling techniques
Implement data models
Ensure data governance
Define data quality strategy
Incorporate data quality
How You'll Work.
Team & Collaboration
Cross team collaboration; Liaise between clients; Liaise between stakeholders; Coach teammates; Mentor teammates; Motivate teammates; Influence teammates; Encourage teammates
Communication Scope
Communicate insights
Process & Methodology
Goal-setting, Scope definition, On-time delivery
Full Job Description
Lead data engineers at Thoughtworks develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. They might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems. On projects, they will be leading the design of technical solutions, or perhaps overseeing a program inception to build a new product. Alongside hands-on coding, they are leading the team to implement the solution. Job responsibilities You will lead and manage data engineering projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration. You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality. You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. 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 implementations of their models. You 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 develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack. You will be responsible for 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. Job qualifications Technical Skills You h
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