Analytics Engineering – Tech Lead
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Job Description
Tech Lead de Analytics Engineering liderando padrões, qualidade e automação da plataforma analítica da fintech Asaas. Evolução de dbt, CI/CD, governança e observabilidade para mais de 200 mil clientes.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- 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
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