Data Architect Lead

Summary

Join Thoughtworks as a Lead Data Engineer and lead data engineering projects from inception to completion, collaborating with stakeholders to leverage data and improve data quality. Design, develop, and operate modern data architecture, creating intricate data processing pipelines. Collaborate with data scientists on scalable model implementations and write clean, iterative code using TDD and continuous delivery practices. Lead clients in utilizing distributed storage and computing technologies, developing data models, and ensuring data governance, security, and privacy. This pre-sales focused role requires proficiency in designing Data & AI solutions and leading opportunities and proposals.

Requirements

• 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
• 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.)
• Have experience in consulting, client facing, hands on, project delivery and support in pre-sales and development of proposals and solutions, team leadership and/or specialist
• 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
• Are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives
• Don’t shy away from risks or conflicts, instead you take them on and skillfully manage them
• Coach, mentor and motivate others and you 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
• 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

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
• Predominantly, a pre-sales focused role. Must be proficient in designing Data & AI solutions by telling the story of how our portfolio of services combine to generate high value and positive results for the client's business
• Lead opportunities and proposals, seeking to understand customer challenges, identify potential opportunities and connect them to our offerings
• Be responsible for opportunities within the Data Modernization offering and related to pipeline and sales, which will be shared with the various Market Sales teams

Preferred Qualifications

• Preferred in the state of São Paulo, but can be any other city/state in Brazil
• Vacancy that can be main grid or lead

Benefits

• There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you
• 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