Senior Data Engineering Manager

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineering Manager in Brazil.

This is a high-impact leadership role at the center of a large-scale data organization, responsible for shaping how data is used to drive decisions, operations, and growth across multiple business domains. You will define the data vision, connecting architecture decisions to business outcomes while ensuring the platform evolves with scalability, reliability, and usability in mind. The role combines strategic leadership with hands-on analytical thinking, acting as a key bridge between data teams and senior business stakeholders. You will lead a sizable organization of managers and individual contributors, guiding structure, performance, and long-term capability building. A core part of the mission is to democratize data access through AI-powered tools and self-service analytics. You will also operate the data function as a product, defining KPIs, governance standards, and adoption metrics. This is a deeply cross-functional and transformative role where your decisions directly influence how the organization understands and uses data.

Accountabilities:

• Define and lead the overall data vision, ensuring alignment between data strategy, architecture, and business outcomes across the organization.
• Guide platform and architecture decisions with a strong focus on impact, scalability, and long-term value rather than tooling preferences.
• Act as a strategic bridge between data teams and business leadership (Commercial, Operations, Finance, Product), translating business needs into analytical solutions.
• Lead and scale a large data organization, managing multiple managers, performance calibration, succession planning, and organizational design decisions.
• Drive the democratization of data through AI-powered tools, enabling self-service analytics and conversational access to metrics and insights.
• Operate the data function as a product, defining OKRs, KPIs, and health metrics such as reliability, adoption, cost, and user satisfaction.
• Elevate technical and analytical standards across the organization by shaping hiring, capability development, and seniority calibration.
• Partner with leadership to define the future expansion of data capabilities, including Data Science, Data Analytics, and Business Analytics.

Requirements:

• Strong technical background in data engineering and analytics, with proven experience designing and scaling data solutions in complex environments.
• Deep knowledge of SQL, dimensional modeling, data transformation frameworks, cloud-based data platforms, and orchestration architectures.
• Strong business acumen with the ability to translate commercial, financial, and operational contexts into analytical frameworks and decisions.
• Advanced analytics understanding, including experimentation (A/B testing), causal analysis, predictive modeling, and segmentation concepts.
• Experience leading large technical or analytical organizations, including responsibility for managers, hiring, and talent development.
• Strong understanding of modern data platforms, including data contracts, semantic layers, governance, observability, and self-service models.
• Excellent executive communication skills in both Portuguese and English, with the ability to move between technical depth and strategic storytelling.
• Experience working in complex, multi-domain organizations with competing priorities and large-scale data ecosystems.

Benefits:

• Competitive compensation package aligned with senior leadership roles
• Health, dental, and wellness benefits including partnerships with well-being platforms
• Meal and transportation allowances
• Extended maternity, paternity, and childcare support benefits
• Education incentives and partnerships for continued learning (MBA and postgraduate programs)
• Discounts on travel and additional partner benefits
• Pet healthcare plan partnerships
• Flexible benefits tailored to employee needs
• Strong culture of inclusion, diversity, and equity
• Access to educational materials and internal learning resources

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1