Own the technical architecture of data systems and pipelines that ingest and transform massive hospitality data volumes.
Map out current architecture, design future state, and set standards for data engineering at scale.
Embed AI strategy into integrations architecture and collaborate across teams to drive technical excellence.
Lighthouse is a hospitality AI platform that revolutionizes commercial strategy by transforming the world's largest hotel data network into real-time intelligence. With 850+ teammates across 35 countries and $370M in Series C funding, we foster a collaborative, innovative culture focused on customer success.
Design and evolve data environments within Microsoft Azure, building scalable pipelines and architectures.
Translate business needs into practical, data-driven technical solutions across engineering and data science.
Ensure data is organized, reliable, and accessible to support meaningful business decisions.
Jobgether is a platform that uses AI to match candidates with job opportunities, partnering with companies to streamline hiring. They focus on innovation and efficiency, offering a collaborative environment for professional growth.
Lead a data organization through a significant transformation, modernizing reporting infrastructure and building data science capability from scratch.
Set multi-year data strategy while assessing technical debt, guiding a team through a skills transition, and making decisions about people and technology.
Own the transition off legacy tools (Crystal Reports, Oracle) onto a modern cloud stack (Databricks, Power BI) and build a data science function to embed AI into the product.
ComPsych is the worldwide leader in organizational mental health, well-being, and absence management, dedicated to igniting human potential in workplaces across the globe. For over 40 years, they have served more than 75,000 customers worldwide, touching over 160 million lives across 200 countries.
Architect enterprise-scale Databricks data platforms with guardrails, automation, and standards to enable safe self-service by business teams.
Design high-volume batch and real-time streaming pipelines using PySpark and Structured Streaming, integrating Unity Catalog with third-party metadata.
Communicate architectural decisions to technical and business stakeholders, produce documentation, and partner with client teams to translate use-case needs into platform capabilities.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact using AWS, AI, and Anthropic's Claude platform. They are a fully remote global company with employees across Canada, the US, and Latin America, fostering a culture of technological curiosity and inclusion.
Design, build, and maintain scalable data pipelines and platform capabilities to power analytics, AI/ML, and healthcare products.
Implement data quality, governance, and security controls, ensuring healthcare data is handled securely and in compliance.
Provide technical leadership, mentor engineers, and collaborate across teams to translate requirements into scalable data solutions.
Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software. They foster a culture of care, growth, and celebration with day-one benefits, career development, and a supportive team environment.
Design, build, and operate production AI systems, including agent orchestration and retrieval pipelines.
Architect and maintain marketing databases, pipelines, and the Customer Data Platform for advanced analytics.
Automate workflows with AI, ensuring data quality and reliability across end-to-end pipelines.
Samsara is the pioneer of the Connected Operations™ Cloud, enabling organizations to harness IoT data to improve the safety, efficiency, and sustainability of their physical operations. It is a publicly-traded company with a culture of autonomy and support, encouraging rapid career development and a scrappy, fast-moving team environment.
Drive the strategic direction of the Data & Analytics organization, developing and scaling internal capabilities in data engineering, analytics, and governance.
Partner with senior leadership to translate vision into staffing plans, delivery roadmaps, and quarterly priorities.
Build and manage a high-performing team, establish data governance standards, and drive adoption of AI-assisted tooling to accelerate delivery.
RPM Living is a property management company that focuses on delivering exceptional customer experiences through technology innovation. They have a large, growing team and value data-driven decision-making, offering comprehensive benefits and professional development opportunities.
Lead and scale a team of data and analytics engineers, setting technical standards and fostering a culture of engineering rigor.
Own the end-to-end data platform architecture, including ingestion, warehouse modeling, governance, and security.
Act as product manager for data infrastructure, enabling self-serve analytics across all internal stakeholders.
Cherry is a fast-growing FinTech that offers the simplest BNPL solution for medical practices. Led by Stanford entrepreneurs and backed by top investors, the company is building a culture of data-driven decision-making.
Coordinate the activity of a team of 14 Data Architects DevSecOps, distributing workloads and resources according to priorities and business needs.
Ensure compliance with reference architectures and corporate standards, coordinating reviews and tracking deviations and architectural risks.
Drive the adoption of Data Architecture, DataOps, and DevSecOps best practices, promoting continuous improvement of the service.
Devoteam is a technology consulting company that helps large organizations design and evolve their data platforms, driving adoption of Data & AI best practices. They have a large, international team and a culture that values technology and talent.
Lead the client-facing data science function, owning the automation of Quarterly Business Reviews and client reporting processes.
Develop scalable analytics infrastructure using modern data practices and AI-powered workflows.
Partner with Sales, Customer Success, and engineering teams to ensure data-driven client insights.
This company is a health tech organization focused on improving access to nutrition and wellness through data-driven insights. They foster a remote-first, collaborative culture with a focus on innovation and ownership.