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Data Tech Manager (Finance) at RecargaPay. Come Make an Impact on Millions of Brazilians!. At RecargaPay, we’re on a mission to deliver the best payment experience for Brazilian consumers and small businesses — by building a powerful digital ecosystem where the banked and unbanked connect, and where consumers and merchants have a one-stop shop for all their financial needs.. We serve over 10 million users and process more than USD 4 billion annually. We’ve been profitable since 2022 and operate our own credit business. We are an AI-first, 100% remote team, scaling in the rapidly changing Brazilian financial market.. Our goal? Deliver the best payment experience in Brazil for people and small businesses alike.. We value autonomy, ownership, and a bias for action. We’re looking for people who are curious, hands-on, and driven by impact — who want to solve real problems, work with strong teams, and rethink what’s possible.. If you’re ready to do your best work, at scale, with purpose — this is your place.. Responsibilities. The . Data Tech Manager. will be the strategic data reference within the Finance area. They will lead an analytics team, coordinate the financial data architecture and main (non-financial) KPIs, and serve as the bridge between business systems, products, and reporting, focusing on . automation, reliability, and scalability. of information.. This role has cross-functional visibility and will work in close collaboration with the . VP of Finance. , the . VP of Data. , . Business Units. , and . Product Teams. (Lending, Wallet, Credit Card, and others), also taking on the role of . Finance Product Owner. in key initiatives involving new products and data infrastructure.. . Restructure, support, and grow the current . Finance Analytics. team (3 people), aligning capabilities with Finance's strategic priorities. . . Understand the area’s needs and translate them into a . data initiatives roadmap. , managing team execution and development. . . Transform a team that currently works only on data visualization initiatives into one that prioritizes . automatic integrations. , . data quality at the source. , and . financial data architecture solutions design. . . . Be the main point of contact for Finance with the CTO's Data team. . . Actively participate in . architecture, governance, and modeling best practice. definitions, ensuring coherence and efficiency in implemented solutions. . . Work side by side with . Data Engineering. and . Data Governance. to ensure a clean, reliable, and well-documented data flow. . . Automate reports and manual processes, focusing on . efficiency and scalability. . . . Develop a . financial data connector. that integrates SAP with Databricks, applying business logic to build views by . BU, product, and cost center. . . . Build a . single source of truth. for financial information, consolidating integrations and consistent reporting structures. . . Act as . Finance Product Owner. in all key product development initiatives (Lending, Wallet, Credit Card). . . Interact with . Product Leads. to ensure financial requirements are correctly structured from the source, facilitating . traceability, reconciliation, and reporting. from source systems. . . Participate in the implementation of a new . planning and reporting tool. , including requirements definition, data architecture design, and collaboration in selecting the solution. . . Lead . data modeling. in the Datamart and the . creation of views in Databricks. to support managerial and strategic reporting. . . Work in coordination with the regulatory team on the construction/validation of . accounting CADOC submissions required by the Central Bank (Bacen). , in collaboration with Regulatory Reporting and Compliance. . . . Solid experience in SQL and Spark (PySpark) for analysis and development of analytical views.. . Proficiency in visualization tools such as Qlik Sense and Tableau, preferably, or others.. . Hands-on experience with Databricks, data mart design, and business-oriented analytical models.. . Familiarity with dbt, Git, and collaborative documentation tools. . Ability to translate business needs into reusable and governed analytical solutions.. . Lead methodological definitions of metrics, modeling conventions, and analytical view design patterns at the organizational level. . . Design analytical solutions that scale beyond a single product or domain, enabling cross-tribe interoperability and reuse. . . Represent the area in data committees (governance, quality, architecture) and define technical guidelines for analytics teams. . . Collaborate with other Analytics Engineers, sharing practices and frameworks within the chapter of their specialty. . . Contribute to decisions regarding the evolution of the analytics platform (naming conventions, catalog, semantics, observability tools).. . Company Location: Brazil.