Jobs at Fractal

Senior backend (Python) engineer responsible for designing, building and maintaining RESTful backend services and APIs, integrating data science outputs, optimizing performance and multithreading, troubleshooting UAT/integration issues, leading teams, and documenting solutions for enterprise Data-to-Decision systems.

Design, build, and maintain SharePoint Online solutions and SPFx web parts. Integrate SharePoint with Snowflake, SQL, SAS and REST APIs. Create embedded analytics and Tableau dashboards, perform data extraction/validation, ensure secure role-based access, and support recurring and ad-hoc reporting and analytics initiatives.

Design and prototype intuitive Power Apps interfaces and modern SharePoint experiences. Develop wireframes, forms, information architecture, reusable UI components, and branding. Conduct stakeholder workshops, map user journeys, ensure accessibility and usability, and collaborate with developers through design specs, reviews, and UAT to deliver Power Platform and SharePoint solutions.

Lead client-facing growth for CPG accounts by driving account strategy, sales and margin targets, positioning Fractal AI/data solutions, managing senior stakeholder relationships, leading pursuits and pre-sales initiatives, and collaborating with cross-functional teams to deliver measurable AI-driven business impact.

The Product Marketing Manager will lead marketing strategies for CX products, conduct market research, create engaging content, and drive product launches. Responsibilities also include collaborating with teams and optimizing marketing tools to improve campaign effectiveness.

The Principal Consultant will lead strategic data modernization and AI programs for enterprise clients, providing architecture guidance and fostering client relationships. Responsibilities include advising on data platforms, overseeing project delivery, identifying business opportunities, and mentoring teams.

The Enterprise Architect will define and lead strategies for cloud, data, analytics, and AI platforms, focusing on scalable and secure systems using Microsoft Azure and Databricks, while ensuring compliance and governance across the organization.

Lead enterprise-wide strategy for cloud, data, and AI platforms. Define architecture, drive technology decisions, and ensure governance for scalable solutions, particularly on Microsoft Azure and Databricks.