SunnyData

• Global Close & Consolidation: Own the end-to-end monthly close across the US parent and international subsidiaries (Uruguay, Argentina, Mexico, and Nepal), including consolidation, intercompany eliminations, and multi-currency revaluation. • Internal Controls: Design and operate scalable controls across the sales-to-cash and procure-to-pay cycles, balancing rigor with the agility a high-growth company needs. • Intercompany & Transfer Pricing: Maintain intercompany billing, financing, and cost-allocation flows in line with our transfer pricing framework, partnering with external advisors across jurisdictions. • Audit, Tax & Compliance: Manage external audits, tax filings, and statutory compliance across entities in partnership with third-party providers in each country. • Cash & Treasury: Support cash flow reporting, FX exposure, and working capital management across currencies and banking relationships. • Financial Planning & Forecasting: Lead long-term business planning, annual budgeting, and rolling forecasts in alignment with corporate goals • Team & Partner Management: Manage and develop our Accounting Manager based in Uruguay, and direct the third-party accounting partners who support statutory, tax, and payroll work across our entities. The team will grow as the company scales.

• Customer Engagement: Serve as a trusted advisor to customers, guiding them through their data engineering and data architecture needs with a focus on Databricks solutions. In this role you will split your time evenly between billable and pre-sales activity. • Technical Leadership: Design, build, and deploy comprehensive data solutions that capture, transform, and leverage data to support AI, ML, and business intelligence initiatives. Drive technology innovation by providing thought leadership on data trends. • Pre-Sales Support: Collaborate with sales teams to present technical solutions to prospective clients, demonstrating the value of SunnyData's offerings. • Project Oversight: Manage multiple customer accounts, ensuring timely delivery of solutions and tracking progress to report outcomes. • Solution Design: Architect data solutions, incorporating best practices in data governance, security, and quality. • Data Analysis: Evaluate data sources for their value, recommending data inclusion strategies to enhance analytical processes. • Cross-Functional Collaboration and Leadership: Lead internal teams, provide direction and mentorship to project teams to deliver solutions and educate end users on data products and analytic environments. • Problem Resolution: Perform system analysis, assess and resolve data and system defects, and apply appropriate corrections. • Quality Assurance: Test data movement, transformation code, and data components to ensure accuracy and reliability.

• Contribute to building exceptional products by combining collaboration, creativity, and a passion for problem-solving. • Champion sustainable engineering practices, including automated testing (TDD), CI/CD. • Apply your strong technical foundations across a modern tech stack focused on JavaScript/TypeScript, RESTful APIs, Angular, and .Net, along with Docker and cloud platforms (AWS or Azure). • Work closely with UI/UX designers to develop and bring to life the best concepts in the world of data, ensuring both usability and technical excellence.

• Contribute to building exceptional products by combining collaboration, creativity, and a passion for problem-solving. • Champion sustainable engineering practices, including automated testing (TDD), CI/CD. • Apply your strong technical foundations across a modern tech stack focused on JavaScript/TypeScript, RESTful APIs, Angular, and .Net, along with Docker and cloud platforms (AWS or Azure). • Work closely with UI/UX designers to develop and bring to life the best concepts in the world of data, ensuring both usability and technical excellence.

• Contribute to building exceptional products by combining collaboration, creativity, and a passion for problem-solving. • Champion sustainable engineering practices, including automated testing (TDD), CI/CD. • Apply your strong technical foundations across a modern tech stack focused on JavaScript/TypeScript, RESTful APIs, Angular, and .Net, along with Docker and cloud platforms (AWS or Azure). • Work closely with UI/UX designers to develop and bring to life the best concepts in the world of data, ensuring both usability and technical excellence.

• You will be part of a team responsible for supporting new and existing customers in their data engineering needs. • You will guide customers to make the best technical decisions to achieve their goals • You will actively work across multiple customer accounts which you would need to track and report on their progress. • You will design, build, and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing /quality solutions. • You will analyze sources to determine value and recommend data to include in analytical processes. • You will incorporate core data management competencies including data governance, data security and data quality. • You will collaborate within and across teams to support delivery and educate end users on data products / analytic environments. • You will perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate. • You will test data movement, transformation code, and data components.

• Customer Engagement: Serve as a trusted advisor to customers, guiding them through their data engineering and data architecture needs with a focus on Databricks solutions. In this role you will split your time evenly between billable and pre-sales activity. • Technical Leadership: Design, build, and deploy comprehensive data solutions that capture, transform, and leverage data to support AI, ML, and business intelligence initiatives. • Pre-Sales Support: Collaborate with sales teams to present technical solutions to prospective clients, demonstrating the value of SunnyData's offerings. • Project Oversight: Manage multiple customer accounts, ensuring timely delivery of solutions and tracking progress to report outcomes. • Solution Design: Architect data solutions, incorporating best practices in data governance, security, and quality. • Data Analysis: Evaluate data sources for their value, recommending data inclusion strategies to enhance analytical processes. • Cross-Functional Collaboration and Leadership: Lead internal teams, provide direction and mentorship to project teams to deliver solutions and educate end users on data products and analytic environments. • Problem Resolution: Perform system analysis, assess and resolve data and system defects, and apply appropriate corrections. • Quality Assurance: Test data movement, transformation code, and data components to ensure accuracy and reliability.

• Improved decision-making: Translate complex data into clear, reliable, and actionable dashboards that support faster, data-driven business decisions. • Performance optimization: Advanced knowledge of DAX, Dataflows, partitioning, and large-scale data modeling ensures high-performance reporting and reduced load times. • Standardization and scalability: Bring structure to BI practices by implementing version control, modeling standards, and scalable design using tools like Tabular Editor and Git. • Stronger business collaboration: Act as a bridge between technical teams and business stakeholders, aligning data solutions with business needs more effectively. • Team development: Support and mentor junior analysts, contributing to team growth and raising the overall technical bar.

• You will be part of a team responsible for supporting new and existing customers in their data engineering needs. • You will guide customers to make the best technical decisions to achieve their goals • You will actively work across multiple customer accounts which you would need to track and report on their progress. • You will design, build, and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing /quality solutions. • You will analyze sources to determine value and recommend data to include in analytical processes. • You will incorporate core data management competencies including data governance, data security and data quality. • You will collaborate within and across teams to support delivery and educate end users on data products / analytic environments. • You will perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate. • You will test data movement, transformation code, and data components.

• Own, optimize, and secure the Databricks environment, ensuring scalable, reliable, and well-monitored performance for data and ML workloads. • Enable and optimize data and ML workflows in Databricks, enhancing self-service capabilities and supporting Unity Catalog for governance and discovery. • Implement and maintain Databricks security, access controls, and compliance practices, ensuring least-privilege governance and alignment with enterprise standards. • Partner with data and ML teams to improve the Databricks platform, drive best practices and automation, and coordinate with DevOps on cloud infrastructure and integrations.