Tech Lead – Data Platform

🕒 July 27

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 61%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

ROIT

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

💼 Consulting

⚖️ Legal

☁️ SaaS

Consulting • Legal • SaaS

ROIT is a Brazilian tax-technology company that provides an integrated ecosystem of SaaS solutions and AI-powered tools to help medium and large companies prepare for and manage the 2026 tax reform. Its offerings include an official tax-reform calculator that reprocesses SPED files and invoices, an Invoice-to-Pay automation suite (with ERP/SAP integrations), Tax Discovery for reclaiming taxes, regulatory consulting and education programs, and ongoing support for compliance and scenario planning.

📋 Description

• Provide technical leadership to the Data Engineering team, promoting best practices and supporting team development; • Define and evolve the data platform architecture, ensuring scalability, performance, security, governance, and cost efficiency; • Design, review, and guide the implementation of data pipelines (ETL/ELT, batch and streaming), ensuring data quality, availability, and reliability; • Define development, architecture, data modeling, and system integration standards; • Develop and evolve solutions for ingesting and processing data from APIs, relational databases, legacy systems, and cloud services; • Evolve Data Lakes, Data Warehouses, and Data Marts to support Analytics, Artificial Intelligence, and business applications; • Implement observability, monitoring, and alerting strategies for pipelines, applications, and data infrastructure; • Ensure adoption of engineering best practices, including version control, automated testing, CI/CD, and Infrastructure as Code (IaC); • Conduct code reviews and design reviews, continuously raising the technical quality of deliverables; • Collaborate with Product, Software Engineering, and business teams to define and prioritize solutions; • Support strategic platform decisions, identifying opportunities for continuous improvement in architecture, performance, costs, and scalability.

🎯 Requirements

• Strong experience in Data Engineering, acting as a Tech Lead or technical reference for teams; • Proficiency in Python for developing applications and data pipelines; • Hands-on experience with Google Cloud Platform (GCP); • Solid knowledge of BigQuery, Cloud Storage, Pub/Sub, Cloud Run, and Dataproc; • Experience with Data Lake, Data Warehouse, and Data Mart architectures; • Advanced knowledge of SQL and NoSQL databases; • Experience with distributed architectures, microservices, and event-driven architectures; • Experience with CI/CD, Git, and Infrastructure as Code (Terraform or similar); • Experience with monitoring, observability, and troubleshooting data pipelines; • Ability to lead technical discussions, define engineering standards, and support the team's technical growth.

🏖️ Benefits

• Not specified