Data Architecture Specialist

Description

**About Us** XP Inc. is one of Brazil's largest independent financial institutions, owning brands such as XP, Rico, Clear, XP Educação, InfoMoney, and others. With over 4.6 million active clients and assets under custody exceeding R$ 1.1 trillion, XP Inc. has been transforming the financial market for 24 years to improve people's lives. Guided by a distinctive culture centered on four core values \- **Think Big, Entrepreneurial Spirit, Customer Focus, and Open Mind** \- XP Inc. continuously seeks top talent with the ambition to achieve the impossible. **About the Opportunity** ------------------------ The Data Architecture team’s mission is to strategically structure and organize the company’s data, ensuring scalability, security, and efficiency in accessing and using information. We act as enablers for various corporate areas—including Technology, Business, and Data Science—by defining standards, governance frameworks, and robust data storage and processing solutions. Our focus is to build a solid foundation for decision-making, empowering the company to fully leverage its data with agility and reliability. **What We’re Looking For** -------------------- **Essential Qualifications:** * Bachelor’s or master’s degree in Computer Science, Data Science, or a related field; * Extensive experience in data, with deep expertise in distributed systems, cloud-based data platforms, and database design; * Experience in cloud data architecture; * Alignment with our culture; * Excellent communication skills to engage effectively with diverse teams and stakeholders; * Basic understanding of continuous improvement for process optimization; * Strong organizational skills and sense of urgency to manage multiple concurrent demands and deadlines; * Residency in São Paulo and availability for hybrid work arrangements; * Strong hands-on experience with data lake and warehouse platforms such as Snowflake, Databricks, BigQuery, and Redshift; * Experience with data orchestration frameworks such as Apache Airflow, Azure Data Fabric, AWS Step Functions, or similar technologies; * Prior programming experience in Python, Java, or Scala across multiple use cases; * Proficiency in relational and non-relational databases; * Experience with streaming data architectures using Kafka, EventHub, RabbitMQ, Kinesis, or similar technologies; * Residency in São Paulo and availability to work in a hybrid model (3 days per week) **Preferred Qualifications:** Consistent experience in the **definition and evolution of the corporate semantic layer** is a highly valued differentiator for this role. The candidate is expected to define standards that preserve data meaning, ensuring metrics, entities, and relationships are **clear, standardized, and reusable** across the entire organization. This includes: * Designing and governing **business-oriented data models**, going beyond traditional physical or analytical modeling—with emphasis on entities, facts, dimensions, and consistent calculation rules. * Defining and building the architecture for maintaining **semantic contracts**, supporting reporting, data products, and advanced consumers such as agents and AI solutions. * Driving **standardization of business concepts**, reducing ambiguity across departments, avoiding multiple definitions for the same metric, and minimizing analytical rework. * Knowledge or practical experience with **ontologies, taxonomies, or formal conceptual models**, capable of representing business domains, their relationships, and meanings in a structured way—particularly relevant in AI, automation, and cross-domain consumption contexts. **Challenges and Impact** ---------------------- * Architect, design, and implement scalable and reliable data solutions on the data platform, ensuring requirements for scalability, performance, privacy, and data compliance. * Collaborate with cross-functional teams to define policies, procedures, and roles inherent to the company’s data areas. * Collaborate with cross-functional teams to develop a long-term vision for data architecture, aligning it with business objectives to drive simplification and modernization of the data architecture. * Evaluate and select data technologies, researching and recommending data management tools and technologies. * Engage directly in technical work—solution design, code reviews, architecture reviews, and resolution of high-level technical issues. * **Process Steps** * **Initial Screening**: Resume review to assess alignment with qualifications and job requirements. * **General Assessments**: Cultural fit evaluation via Mindsight assessment and logical reasoning test from Predictive Index. * **Video Interview**: An opportunity to get to know each other better and understand your motivations and experiences. * **Recruitment Team Interview**: Discussion about expectations regarding the role and professional goals. * **Technical Assessment**: Interview focused on specific skills required for the position. * **Leadership Interview**: A conversation to discuss your vision and how you can contribute to the team and company. * **Peer Interview**: Interaction with future colleagues to evaluate synergy and teamwork. * **Culture-Focused Interview**: Exploration of company values and principles to ensure strong cultural alignment. * **Offer**: Presentation of the employment proposal, including compensation and benefits details. **Benefits:** Health and Well-being: * Health insurance plan * Dental insurance plan * Wellhub (Gympass) * Zenklub * Life insurance * iFood Benefits (flexible VA and VR) * Transportation allowance * New Value (benefits club) * Parental leave: 6 months maternity leave and 20 days paternity leave * Childcare assistance Financial Life * Exclusive investment funds * Investment advisory services * XP Visa Infinite credit card with no annual fee * Credit options (payroll-deductible loans, home equity loans, real estate CCB loans, etc.) **Flexible On-Site Work Model** Our work model varies by function—it may be fully on-site for business-facing roles and more flexible for other teams. We follow a model with higher on-site frequency, always guided by flexibility and autonomy—and grounded in the responsibility fostered by our entrepreneurial culture. At XP Inc., we value in-person interactions and believe the office serves as a tool to strengthen workplace relationships. * *By proceeding with your application, you declare that you have read, understood, and agree to the Privacy Policy of XP Inc. Group and its vendors and partners supporting the selection process. XP Inc. Group may use artificial intelligence solutions to support the recruitment team throughout the process, which may involve processing your personal data for this purpose, in accordance with the principles of Brazil’s General Data Protection Law (LGPD) and XP Inc. Group’s Privacy Policy.*