• Build analytics and ML platforms to collect, store, process, and analyze huge sets of data • Partner with end-to-end Product Managers and Data Scientists to understand customer requirements • Design prototypes and bring ideas into production • Write high-quality code that is consistent with standards • Create new standards as necessary • Review the work of other engineers to improve quality and engineering practices

Role Description We're seeking an experienced, visionary Principal Data Architect and Leader to drive the strategy, design, and operations of our enterprise-grade data architecture and infrastructure. This critical role leads our data functions, ensuring our platform provides a robust, scalable, secure, and highly available foundation for customers developing, deploying, and hosting applications using this robust data layer. The ideal candidate will possess deep expertise in data architecture, cloud-native technologies, and operational excellence, directly impacting our ability to serve thousands of customer applications. Report to our Engineering Manager. Architecture & Strategy - Define and own the long-term data architecture strategy for Unqork's core platform, covering data modeling, query design, storage topology, and access patterns across a complex data environment that includes MongoDB as well as integration with Relational and Columnar database models. - Ensure the data layer meets the security, performance, scalability, and resilience requirements of enterprise-grade, mission-critical applications. - Evaluate and recommend the right database technologies, indexing strategies, caching layers, ETL and search infrastructure for each class of workload. - Own the end-to-end solutions around data transfers using solutions like ETL for customers. - Own the data architecture for Unqork's AI-driven development layer — defining persistence, versioning, and query standards for AI-generated configurations. - Lead the design of declarative data models and schemas that enable non-technical users to build complex logic while maintaining strict data integrity. - Define the architectural boundary between database-layer computation and application-layer computation, and establish standards for which work belongs where. - Create and maintain comprehensive documentation including data architecture blueprints, indexing governance policies, query standards, and migration playbooks. - Own capacity planning and cost modeling for data infrastructure resources as Unqork scales. Leadership & Data Operations - Mentor and grow a team of data engineers and database engineers responsible for the health and performance of Unqork's data platform. - Establish data modeling best practices and enforce standardization across all environments. - Oversee the design and operation of Unqork's database infrastructure. - Drive data operational excellence by implementing and refining query performance monitoring, slow query alerting, explain plan review processes, and incident response playbooks for database degradation events. - Define and enforce data access governance. - Comply with security regulations while working on data designs and patterns for Unqork platform. - Partner with Product to translate product requirements into data model decisions. Qualifications - 10+ years of progressive experience in data architecture, database engineering, or a related field, with at least 3 years in a principal or architect-level role. - Extensive experience designing and managing enterprise-grade, multi-tenant data infrastructure for SaaS platforms. - Expert-level proficiency with MongoDB — including aggregation pipeline design, index strategy, replica sets, sharding, and query execution plan analysis. - Deep, hands-on expertise with core data technology stack including MongoDB, Relational/SQL Databases, Redis, Node.js, RBAC and access control data patterns, and AI/ML data infrastructure. - Proven ability to write architectural decision records that hold up over time. - Proven ability to lead technical teams, manage complex data migration projects, and influence cross-functional stakeholders. - Strong understanding of data security principles, multi-tenant isolation patterns, and enterprise compliance requirements. Benefits - Work from home with a remote-first community. - Unlimited PTO (and the encouragement to use it). - Student loan payback program. - 100% employer-covered medical, dental, and vision options available to you and your dependents. - Flexible Spending Account (FSA). - Monthly stipend toward your WFH setup, vacation, development and more. - Employer-sponsored 401(k) with contribution match. - Subsidized ClassPass Membership. - Generous Paid Parental Leave. Hiring Ranges - Tier 1: $229,000 - $286,200 - Tier 2: $215,100 - $268,900 Company Description Unqork empowers enterprises to accelerate growth by rapidly building, testing, and running applications that are designed to be AI-native. Trusted by the world’s largest organizations in highly regulated industries, these applications become more secure over time while significantly reducing technical debt—allowing businesses to focus on innovation rather than maintenance. Unqork embraces a culture of security and privacy awareness by consistently safeguarding sensitive information, adhering to company policies, and actively participating in training and initiatives to protect our data and the privacy of our stakeholders. Unqork is an equal opportunity employer. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our team, specifically focused on building scalable Generative AI architectures within the AWS ecosystem. You will architect the data foundations that power LLMs and autonomous agents for our Fortune 500 partners.

• technische Konzeptionierung großer SAP Transformations-Projekte • Analyse, Konzeption und Durchführung von S/4 HANA Migrations- und Konvertierungsprojekten im Public Business Umfeld • Konfiguration und Weiterentwicklung von SAP Standardmigrationswerkzeugen sowie der firmeneigenen Natuvion Migrationssuite • Begleitung von Kundenprojekten von der Anforderungsaufnahme über die Datenauswertung bis zur Implementierung • Durchführung und Leitung von Workshops und Schulungen für unsere Kunden • Unterstützung des Sales Teams im Pre-Sales durch Erstellung von Aufwandsschätzungen und Angeboten