Principal Data Engineer I - Tech Ecosystem
McKinsey & Company · São Paulo, Brazil · 4d ago
Staff / Lead / PrincipalOn-siteData & Analytics
Who you'll work with
You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact.
In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- Exceptional benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
What you'll do
You will shape and accelerate the delivery of target state data platforms enabling GenAI use-cases.
Your love of building data solutions as part of multi-disciplinary team, working closely with digital product professionals, data scientists, cloud engineers and others will serve you well.
You’ll be a member of a global team working on GenAI initiative. McKinsey’s Tech Ecosystem function is responsible for developing and delivering all technology solutions for the firm’s internal use. You will take a cloud-first approach to transform our data platforms and analytical applications across the firm.
You’ll learn what it’s like to build and work on a GenAI product that has firm wide impact. You will sit at the technical side and work closely with product professionals to deliver data processing capabilities enabling top use cases to transform how we work using GenAI. You will collaborate with cross-functional teams, including product managers, data scientists, engineers, data engineers, designers, and firm stakeholders, to define product requirements, prioritize features, and drive a successful delivery.
You will be leading multiple workstreams that include work related to data infrastructure, data engineering framework & adoption, developer productivity, data processing capabilities, GenAI-agents data enablement and more.
You will be responsible for making critical technical design decisions that shape our data infrastructure. You will mentor and apprentice data engineers, fostering their growth and ensuring they adhere to best practices. Your responsibilities include influencing the data engineering team structure to optimize delivery and maximize impact. You will also be accountable for the quality of deliverables, ensuring that all code meets high standards of reliability, scalability, and performance. Your leadership and expertise will drive the team to achieve excellence in all aspects of data engineering.
Your background
- Years of professional experience as a data engineer, with a strong focus on cloud- based data engineering using AWS services
- Experience leading teams of engineering professionals
- Expertise with Python development
- Fluency with data architecture & data engineering patterns and ability to apply them appropriately
- Experience with relational databases and vector stores
- Strong experience with containerization technologies and AWS ECS
- Snowflake experience is a must
- Experience translating complex business problems to architecture, pipelines and stories
- Practicing high coding standards with clean code, modularity, error handling, testing automation and more
- Creation of enterprise-grade data solutions at large scale
- Interest in Generative AI and other ML topics
- Excellent problem-solving skills and the ability to analyze and resolve complex data engineering challenges