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.

Due to the nature of the projects, this role requires the successful candidate to be a Thai Citizen*

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 have experience in leading the system design and implementation of technical solutions.
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.
You have hands-on experience with Python (must have), Spark, and big data processing.
You have experience with at least one Cloud platform (AWS, Azure, or GCP). And, Databricks experience is preferred.
You have experience in writing clean, high-quality code using the preferred programming language.
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 with data visualization techniques and can communicate the insights as per the audience.
You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems.
You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.).

PROFESSIONAL SKILLS

You 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.

You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
You coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for

their work.

You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can

bring new opportunities to our business.

OTHER THINGS TO KNOW

LEARNING & DEVELOPMENT

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.

RESPONSIBLE USE OF AI IN RECRUITMENT

At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications,

scheduling interviews and writing job descriptions.

Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all

selection decisions are made exclusively by our interviewers and hiring managers.

We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and

implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance

process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.

ABOUT THOUGHTWORKS

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading

technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered

extraordinary impact together with our clients by helping them solve complex business problems with technology as the

differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be

extraordinary.

#LI-Onsite

See here our AI policy.

Role

Lead Data Engineer

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