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Lead Data Engineer

Pay
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Work setting
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Employment
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What you’ll work on

Full posting
  • Lead data engineering projects from inception to completion, including scope and delivery

  • Design and develop data architectures and end-to-end data solutions

  • Build and operate intricate data processing pipelines for clients

  • Write clean, iterative code using TDD and continuous delivery practices

  • Advise clients on distributed storage and computing technologies

From the employer’s posting
You will lead and manage data engineering projects from inception to completion
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
You write clean and iterative code based on TDD and leverage various continuous delivery practices
You will lead and advise clients on how to use different distributed storage and computing technologies

What you’ll bring

All qualifications

Core experience

  • You have 10+ years of experience in leading the system design and implementation of technical solutions.
  • You have experience in writing clean, high-quality code using the preferred programming language.
  • You have experience with data visualisation 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.).
Qualification wording
You have 10+ years of experience in leading the system design and implementation of technical solutions.
You have experience in writing clean, high-quality code using the preferred programming language.
You have experience with data visualisation 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.).

About Referrals Only

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

In the employer’s words · Read in context

Apply at Referrals Only

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20262 days ago
Recorded sightings
3
Last seen by us
Nov 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 6 and day 54.

At Referrals Only, jobs usually come down by about day 25.

From 11,508 similar postings that came down, and 24 of Referrals Only’s. Coming down is not always a hire.

Referrals Only is hiring

14 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • NoSQL
Where the posting names them
- 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

Your next step

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

Applying through Greenhouse

  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

Has Referrals Only posted this job before?

Yes. We’ve followed 2 other Lead Data Engineer jobs there since September 2026. All 2 are still up.

  1. QuitoStill up after 59 days, first seen Sep 9
  2. LimaStill up after 59 days, first seen Sep 9
  3. This jobUp 3 days so far, first seen Nov 5

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,079.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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 have 10+ years of 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 modelling and experience with modern data engineering tools and platforms.
  • 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 visualisation 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.

See here our AI policy.

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Bangalore, India

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