• Configure, support, and enhance internal and external software applications in alignment with approved business processes. • Assist with evaluating existing business workflows and identifying opportunities to improve system usage, data accuracy, and efficiency. • Maintain system documentation, usage guidelines, and standard operating procedures. • Build, maintain, and support system‑to‑system data interfaces used by the enterprise Data Warehouse. • Develop and maintain ETL/ELT processes to move data from ERP systems and third‑party applications into centralized reporting structures. • Create and maintain data mappings, validation rules, error handling, and reconciliation processes to ensure data integrity. • Support integrations using APIs, flat files, and database connections, working directly with vendors and internal teams as needed. • Assist with the ongoing development and maintenance of the enterprise Data Warehouse, including data staging, transformations, and reporting layers. • Ensure accuracy, stability, and consistency of enterprise data used for reporting and analysis. • Support the integration of new data sources, including those from acquired business units. • Develop, maintain, and distribute Power BI reports and dashboards based on business and management priorities. • Provide hands‑on support for enterprise ERP systems, with a primary focus on Epicor Kinetics. • Respond to end‑user issues, perform root‑cause analysis, and recommend practical solutions. • Assist in developing training materials and deliver end‑user training as needed to promote effective system use. • Support onboarding and offboarding of acquired or divested business units from a systems and data integration perspective. • Assist with data migration, validation, and system alignment activities. • Perform additional responsibilities as assigned that are consistent with the role.

Develop and deploy integrations within AWS MWAA and BEACON cloud environments. Perform business systems analysis, including data validation, requirements definition, and software configuration.

Title: Data Architect Location: Atlanta, Boston, Charlotte, Chicago, Dallas, Los Angeles, New York, San Francisco Job Description: Please note: This position is not eligible for immigration sponsorship. We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation. If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment. Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. Data Architect The Data Architect defines data models, integration patterns, governance alignment, and information flow across solutions and platforms. This impactful role will be critical in ensuring data is structured and connected in a way that supports reliable operations, analytics, and AI-enabled capabilities. This position will ideally be based in one of our US offices and is a hybrid role with the flexibility to work remotely 2 days per week (also eligible for remote candidates). This position is not eligible for immigration sponsorship. What You’ll Do: Data Design - Define conceptual and logical data models for platforms, integrations, and analytics use cases - Set standards for data flow, master data handling, metadata, and integration design - Partner with Product and Engineering to ensure data structures support operational and analytical needs Governance & Integration - Align application and platform designs to data governance requirements and enterprise standards - Establish patterns for data quality, lineage, access, and stewardship across critical workflows - Support data architecture decisions related to reporting, AI use cases, and system interoperability Enablement & Improvement - Review data-heavy solution designs and identify risks early - Document and evolve target-state data architecture principles - Help teams improve how they design for reusability, quality, and cross-platform consistency You Have: - 8+ years of data architecture, data modeling, or enterprise data design experience – you are a disciplined architect who values clarity, lineage, and quality - Strong knowledge of data integration, data warehousing, APIs, and data governance concepts - Experience supporting operational systems as well as reporting and analytics use cases and comfortability connecting operational systems to broader information strategy - Commitment to focusing on data as an enterprise asset rather than a project byproduct - Ability to work across technical and business stakeholders while remaining analytical, pragmatic, and highly collaborative - Bachelor's degree required You Are: - Excited to be part of a growing team, with a focus on driving future growth - Passionate about delivering exceptional client service - Knowledgeable about the relationship between Private Equity sponsors and their portfolio companies, particularly within the office of the CFO - Willing to get your hands dirty in the details of a project while simultaneously seeing the whole picture - Comfortable managing projects with multiple complex workstreams while also focused on your single workstream (you are managing and doing) - A self-starter with a strong work ethic - Full of entrepreneurial spirit and comfortable in a fluid, flat organization - Able to effectively communicate complex issues and solutions, and raise issues to senior team members when necessary - A team player, able to work with team members across all levels - Someone who enjoys mentoring others and doing meaningful work - A leader of others; you lead by example The annual salary for this role ranges from: $170,000 to $225,000 + benefits + bonus. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity. Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law. Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. #LI-HA1

• Escolher padrões arquiteturais adequados (microsserviços, filas de mensagens, etc.). • Justificar a escolha dos padrões em relação aos requisitos. • Considerar os trade-offs entre simplicidade e flexibilidade. • Definir estratégias claras para lidar com o aumento da carga (escalabilidade). • Implementar mecanismos de recuperação de falhas (resiliência). • Atender ao requisito de não indisponibilidade do serviço de controle de lançamentos em caso de falha do consolidado diário. • Definir como os componentes se comunicam (protocolos, formatos de mensagem, etc). • Escolher ferramentas de integração adequadas e suas responsabilidades. • Implementar autenticação, autorização e criptografia (segurança). • Implementar mecanismos de proteção contra ataques (WAF, etc). • Analisar a qualidade da divisão do sistema em partes menores e gerenciáveis. • Abstrair e segregar responsabilidades entre as camadas. • Garantir a aderência às boas práticas de desenvolvimento (Solid, Clean Code, etc). • Escrever código legível, organizado e de fácil manutenção. • Utilizar a linguagem C# de forma eficiente. • Implementar testes com boa cobertura, qualidade e relevância. • Cumprir os requisitos técnicos obrigatórios. • Atender aos requisitos de negócio.