About us Black Ore is building the leading AI platform for financial services. By combining LLMs, proprietary AI/ML and automation, we accelerate core workflows for the industry, allow financial services professionals to be more productive and enable consumers to enhance their personal finance. Our flagship product, Tax Autopilot, combines AI with federal and state tax codes & regulations to simplify the tax preparation and review process for Certified Public Accountants (CPAs) and accounting firms. Founded in 2022, we launched with $60 million in early stage funding from some of the world’s leading investors including a16z, Founders Fund, General Catalyst, Khosla Ventures, Oak HC/FT, Trust Ventures and leading tech founders/angel investors including Jason Gardner (Founder and CEO of Marqeta), Max Levchin (Founder of Paypal and Affirm), Tom Glocer (Former CEO of Thomson Reuters), Gokul Rajaram, and Mark Britto (EVP, CPO, PayPal). Our team has an incredibly ambitious vision to completely transform the way businesses and consumers interact in financial services. We’re looking to hire strong team members to grow the team. Why Join Us? Impact – Drive the data architecture strategy for cutting-edge AI-powered tax automation. Technical Leadership – Play a critical role in shaping the structure and scalability of our platform. Collaboration – Work directly with business experts, Ai engineers, and development teams to solve real-world data challenges. Innovation – Work on highly structured data models, AI-powered automation, and business-driven data design. Growth & Learning – Join a startup environment where your expertise is valued and your ideas shape the future. Remote Flexibility – Work from anywhere while collaborating with a highly skilled, passionate team. What We Offer (for U.S. Based Employees) Competitive salary and equity based compensation Employer-paid medical, dental and vision insurance Ability to define your own success in a growing company Opportunities for continuous learning and new challenges Qualifications Financial Acumen Financial concepts and terminologies Financial API’s - content and structure Experience with tax or accounting software Database & Technology Expertise Structured & non-structured database technologies and design principles SQL & MQL (MongoDB query language) Business Rule Management Systems (BRMS) such as Drools Event-based systems, message orchestration, data pipelines Information Architecture Experience creating ontologies & taxonomies The Role As a Data Architect with BlackOre, you will have a key role in translating business needs into scalable data architectures that drive our AI-powered software. You will collaborate with business stakeholders to capture requirements, analyze workflows, and design high-performance, structured data models that enable autonomous tax processing. Responsibilities Data Modeling – Partner with business subject matter experts to translate complex business logic into robust, well-structured data models. Utilize object-oriented design principles and UML methodologies to build modular, reusable, and extensible data frameworks. Business Rule Automation – Define and develop a domain-specific language (DSL) and taxonomy to capture business logic and drive automation. Process & Workflow Analysis – Collaborate with business stakeholders to document tax rules and workflows. Visualization & Documentation – Produce architecture documentation, diagrams, and technical specifications. Define standards for data modeling, metadata management, and schema design. AI & Automation – Work with AI data scientists to structure data for machine learning and rule-based automation. API Management - Define proprietary API for third-party integration. Requirements Education: BA or MSC in Computer Science, Information Technology, or related field. Software Development – 3+ years of professional development experience with an object-oriented language such as Java. Experience with at least one third-generation scripting language (JavaScript or Python preferred) for prototyping and defining data transformations. Domain Modeling Expertise – Deep understanding of OOP principles, design patterns, and data structures. Experience with XML, XSD, JSON, schemas, and metadata. Proficient with at least one UML design tool. Strong Communication & Collaboration Skills – Ability to communicate with non-technical stakeholders to translate complex business logic into structured data models & rule sets for development teams. Demonstrated verbal and written communication skills. Artificial Intelligence - Familiarity with basic Ai & ML principles and practice. Collaboration & Work Ethic – Ability to work both independently and collaboratively in a fast-moving startup environment. Exceptional Analytical & Conceptual Thinking - Ability to generalize business problems into generic & extensible data-driven solutions. Continuous Learning - Track record of learning and applying new techniques and methodologies.