Analytics Engineering – Tech Lead

• Serve as the technical authority for Analytics Engineering at Asaas, defining and ensuring standards for modeling, version control, testing, and documentation
• Lead the architecture of the shared analytics platform layer, ensuring modularity, reusability, and scalability
• Advance tooling and the developer experience, including dbt projects, macros, internal packages, CI/CD, environments, and templates
• Establish and maintain data quality and observability mechanisms, including automated tests, freshness monitoring, alerts, incident management, and pipeline health metrics
• Ensure data governance and reliability in partnership with the Governance team, covering cataloging, documentation, access policies, and artifact lifecycle management
• Monitor and optimize data platform costs and performance
• Drive automation and apply Generative AI throughout the data lifecycle
• Track analytics engineering trends and translate them into improvements for the team
• Mentor and develop the team through code reviews, pairing, and technical forums
• Foster a collaborative, inclusive, and impact-oriented environment

• Experience providing formal or informal technical leadership to data teams
• Experience with dimensional modeling and the development of scalable analytics pipelines
• Advanced SQL skills
• Experience with dbt, including project organization, macros, tests, and documentation
• Experience with Databricks, Unity Catalog, Asset Bundles, permission management, and environment management
• Experience with Python for pipeline orchestration and automation, using Airflow or an equivalent tool
• Experience with structured code version control using Git and GitHub
• Experience applying software engineering practices to data, including CI/CD, code reviews, and automated testing
• Experience defining and implementing scalable technical standards for other data teams
• Degree or equivalent experience in Engineering, Data Science, Computer Science, Information Systems, Statistics, Economics, or a related field
• Preferred: Previous experience in fintech, payments, or financial services
• Preferred: Knowledge of infrastructure as code (IaC) using Terraform
• Preferred: Experience productionizing machine learning projects applied to digital products
• Preferred: Participation in digital product architecture projects, such as data mesh, event-driven architecture, and CDC
• Preferred: Experience with statistical testing and measuring product impact

• Medical and dental insurance with no copay
• Life insurance
• Prescription medication assistance
• Fitness allowance
• Four free therapy or nutritionist sessions per month
• Quick massage at headquarters
• Flexible meal and food allowance on a Visa card
• Complimentary food at headquarters
• Childcare assistance
• Parental support program
• Extended maternity and paternity leave
• In-house training platform
• Education assistance covering 70% of tuition for undergraduate programs and language courses, as well as courses and books
• Home office allowance
• Work equipment
• Furniture allowance
• Partnership with WOBA for access to coworking spaces throughout Brazil
• Birthday month day off
• Happy hour allowance
• Referral bonus for new hires
• Bonus based on annual goals
• Stock option plan
• No dress code