Tech Lead, Data – Data & Analytics / Martech

Job not on LinkedIn

🕒 July 3

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 27%

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.

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Leega

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

📣 Marketing

🔌 API

Consulting • Marketing • API

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

📋 Description

• Provide technical leadership for the data team, acting as a reference for architecture and best practices • Evaluate, propose and evolve data architecture solutions (batch and streaming) • Translate business needs into efficient, scalable technical solutions • Work closely with business areas, especially in CRM and Martech contexts • Desirable experience with Salesforce products (Sales Cloud, Marketing Cloud, Service Cloud, integrations, and data models) • Ensure data quality, governance, and reliability • Support strategic decisions related to data platforms and tooling • Promote engineering best practices (modularization, testing, observability, etc.) • Mentor and develop the technical skills of the team

🎯 Requirements

• Solid experience in event-driven and analytics-oriented data engineering and architecture • Experience with distributed processing (Spark / PySpark) • Strong proficiency in Python • Experience with pipeline orchestration (Airflow) • Familiarity with modern data platforms (e.g., Databricks) • Experience with messaging and streaming (Kafka) • Experience with cloud environments, preferably AWS (S3, Glue, Lambda, EMR, Redshift, among others) • Strong knowledge of data modeling, data pipelines, and analytical architectures • Experience with large-scale data solutions and distributed environments • Experience with CRM, CDP (Customer Data Platform), and Martech ecosystems • CI/CD, code version control, observability, and data governance • Data security, quality, and reliability • Experience designing and evaluating system integration solutions

🏖️ Benefits

• 🏥 Porto Seguro Medical Plan • 🦷 Porto Seguro Dental Plan • 💰 Profit Sharing (PLR) • 👶 Childcare Allowance • 🍽️ Alelo Meal and Food Vouchers • 💻 Home Office Allowance • 📚 Partnerships with Educational Institutions • 🚀 Support for Certifications, including Cloud • 🎁 Livelo Points • 🏋️‍♂️ TotalPass • 🧘‍♂️ Mindself