DATA Tech Lead, Brazil

A hands-on technical leadership role guiding multiple data engineering teams that deliver scalable, business-driven data platforms for large enterprise clients. The position combines architecture oversight, mentoring, and stakeholder engagement, with a strong focus on modern cloud data tooling and engineering best practices.

• Lead and support several data engineering squads, fostering a collaborative, high-performance culture and mentoring engineers on growth and technical craft
• Design, review, and oversee scalable data solutions built on Databricks and modern cloud data platforms, defining coding standards, architecture principles, and documentation guidelines
• Conduct code reviews, drive process optimization and automation, and stay current on trends in data engineering and analytics
• Validate technical deliverables against engineering standards and client expectations, and establish quality‑assurance practices focused on data integrity, reliability, and governance
• Partner with business and technical stakeholders to translate requirements into data strategy, acting as a trusted advisor and facilitating clear communication across teams

• Advanced English (written and spoken)
• Bachelor's degree in computer science, data science, engineering, information technology, or a related field
• Strong hands‑on background in Data Engineering, including deep experience with Databricks and Apache Spark
• Solid experience with at least one major cloud data platform: AWS, Azure, or GCP
• Strong programming skills in Python, Scala, or Java
• Experience with data modeling, ETL/ELT pipelines, and data warehousing concepts
• Proven track record leading technical teams, mentoring engineers, and making architectural decisions in fast‑paced, multi‑priority environments

• Experience in consulting environments working with international clients
• Familiarity designing data governance and quality frameworks
• Knowledge of modern data architecture patterns such as Lakehouse
• Experience with CI/CD, Dev Ops, and infrastructure‑as‑code practices
• Relevant certifications in Databricks, cloud platforms, or data engineering

• Remote role embedded in a globally distributed technology services organization working on large-scale, data‑driven transformation initiatives for global clients
• Opportunity to influence technical strategy, mentor teams, and build innovative solutions using modern data technologies in a collaborative, growth‑oriented environment