{"id":4260100,"url":"https://alion.io/job/thoughtworks-lead-data-engineer-2","title":"Lead Data Engineer","company":{"id":6249,"name":"Thoughtworks","domain":"thoughtworks.com","url":"https://alion.io/company/thoughtworks","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":16,"ghost_share":0.125,"stale_share":0.25,"repost_share":0.125,"time_to_fill_p50_days":27,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-13T12:03:33Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T15:08:07Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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.\nJob responsibilities\nYou 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.\nYou will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.\nYou will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.\nYou will be responsible to create, design and develop intricate data processing pipelines, addressing clients' most challenging problems.\nYou will collaborate with data scientists to design scalable implementations of their models.\nYou write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.\nYou will lead and advise clients on how to use different distributed storage and computing technologies from the plethora of options available.\nYou will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack.\nYou will be responsible for data governance, data security and data privacy to support business and compliance requirements.\nYou will define the strategy for and incorporate data quality into your day-to-day work.\nJob qualifications\nTechnical Skills\nYou have 10+ years of experience in leading the system design and implementation of technical solutions.\nWorking with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems.\nYou have a deep understanding of data modelling and experience with modern data engineering tools and platforms.\nYou have experience in writing clean, high-quality code using Pyspark programming language.\nYou 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.\nYou have experience with data visualisation techniques and can communicate the insights as per the audience.\nYou have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems.\nYou have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.).\nProfessional Skills\nYou 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.\nYou are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.\nYou don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.\nYou coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.\nYou enjoy influencing others and always advocate for technical excellence while being open to change when needed.\nYou are a proven leader with a track record of encouraging teammates in their professional development and relationships.\nCultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.\nOther things to know\nLearning & Development\nThere 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.\nResponsible Use of AI in Recruitment\nAt Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.\nCrucially, 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.\nWe 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.\nAbout Thoughtworks\nThoughtworks 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. 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