Staff Analytics Engineer

Nubank • Miami, FL

9h • Hybrid

About The Position

Analytics Engineers at Nubank are the bridge between business needs and the data platform — making data available across the entire company through sound modeling, governance, and engineering excellence. We are looking for a Staff Analytics Engineer (IC7) to lead one of our most strategic data initiatives: building the authoritative, canonical data ecosystem for all money movements across Nubank's global Payments and Transfers Platform. Our mission is to deploy and harden a single source of truth for this critical domain to eliminate fragmented, non-standardized datasets, creating reconciliation failures, regulatory risk, and compounding limitations for AI-powered products. This is not a migration or maintenance project. You will reimagine the data architecture from first principles — designing what the next generation of financial data infrastructure should look like, then driving its execution across a complex, multi-stakeholder environment. The work will directly fuel Nubank's core products, regulatory operations, and AI roadmap. This role offers extraordinary visibility: you will lead strategic planning and prioritization on a global scale, and influence the data direction of the organization's central nervous system, and set the technical bar for the entire Analytics Engineering function within Global Core Banking.

Requirements

• Proven ownership mindset: Track record of independently leading complex, high-impact data initiatives at scale — not just executing tasks, but owning and driving the entire problem.
• Data architecture expertise: Deep experience designing data architectures for complex domains, including transactional, analytical, and regulatory data models.
• Regulatory environment experience: Experience working in or alongside regulated environments (financial services, fintech, or similar) — understanding of controls, reconciliation, data lineage, and compliance implications.
• Stakeholder management and influence: Demonstrated ability to align diverse stakeholders, influence technical direction across teams, and drive adoption of standards — including the confidence to push back when necessary.
• Technical depth: Advanced SQL and strong proficiency in general-purpose languages (Python, Scala, or similar), with hands-on experience building and maintaining production data pipelines.
• Breadth across the data stack: Cross-tool experience across modern data stacks: streaming platforms, data contracts, data warehouses, and orchestration frameworks.
• Business-to-data translation: Ability to translate ambiguous, complex business challenges into concrete data products and architectural decisions.

Nice To Haves

• Experience with AI/ML integration in data workflows, or defining AI-native data strategies.
• Background in financial data modeling (payments, transfers, credit, or accounting data).
• Familiarity with data governance tooling, metadata management, and PII classification.
• Experience mentoring senior engineers and contributing to function-level hiring or capability building.
• Knowledge of software engineering best practices (testing, CI/CD, documentation, clean code).

Responsibilities

• Define and own the vision and roadmap for a canonical data ecosystem covering all payment and transfer flows across products, customers, and borders at Nubank.
• Lead end-to-end, high-stakes data projects with full autonomy — from requirements gathering and architecture design through delivery, monitoring, and continuous improvement.
• Design and implement robust, scalable data pipelines and models built to last — with an architecture that explicitly supports regulatory, accounting, analytics, and AI use cases.
• Build and enforce data controls, reconciliation frameworks, and governance standards that reduce regulatory and operational risk across the organization.
• Navigate a complex landscape of technical and business stakeholders — aligning teams on standards, negotiating trade-offs, and driving adoption of canonical data sources even when it requires challenging the status quo.
• Define the AI strategy for your domain — deciding which workflows become AI-native, building reusable AI components, and setting guardrails for regulated financial data flows.
• Set the technical bar for the Analytics Engineering function, mentoring ICs up to IC6, contributing to hiring, and shaping how the team grows and operates.
• Partner with data platform, engineering, product, compliance, and finance teams to ensure the ecosystem supports Nubank's most critical business and regulatory requirements.

Benefits

• Maximum impact & visibility: Highest-visibility data role in core banking — you will work on the central nervous system of all money movements at Nubank, with access to strategic rooms not typically available to ICs.
• Build from scratch: This is a greenfield architecture initiative, not a legacy migration. You will design what the next generation of financial data infrastructure should look like — from scratch.
• Frontier of agentic AI in financial services: The ecosystem you build is the foundation for AI-powered banking. You will define which workflows become AI-native and set the guardrails for agentic financial data flows.
• Cross-border, cross-product scope: Your work will affect products, customers, and operations across multiple countries from day one.
• Outsized ownership for your level: At Staff in this domain, you are effectively the head of data for core banking — with disproportionate influence and ownership relative to your level.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed