You will manage a portfolio of protected areas to ensure successful adoption of EarthRanger software through coaching, training, and troubleshooting. Additionally, you will act as the regional voice of the user to inform product development and support large-scale deployments across Latin America.
The FP&A Analyst will develop financial models, manage forecasting and budgeting, and provide actionable insights to support business decisions. They will collaborate across departments to prepare financial reports and assist with strategic initiatives like M&A analysis.
Analyze business data to identify trends and build actionable dashboards and reports for stakeholders. Collaborate with cross-functional teams to translate business requirements into effective analytics solutions.
You will lead and grow a distributed team of forward deployed engineers while managing client engagements and delivery outcomes. Additionally, you will act as a technical advisor to clients and build reusable technical practices and accelerators for the team.
Design and implement AI applications on Snowflake using Cortex AI functions, agents, and search capabilities. Collaborate with clients and engineering teams to build secure, scalable data foundations and AI-driven systems.
Lead, coach, and grow a team of forward deployed engineers while owning delivery quality, scope, timelines, and outcomes across concurrent client engagements. Work hands-on to build and review AI systems, lead client technical sessions, identify follow-on opportunities, and establish reusable delivery practices.
You will design and maintain robust data models, pipelines, and semantic layers to ensure data is structured and ready for AI agents. Additionally, you will act as a bridge between technical data infrastructure and business stakeholders to drive measurable outcomes.
You will architect and build foundational data pipeline infrastructure to support a decentralized Data Mesh strategy and AI-ready semantic layers. Additionally, you will lead a small data engineering team and mentor analysts to enable self-service data product development.
Lead architecture for lakehouse implementations and platform modernization while serving as the primary technical voice for the Databricks partnership. Support the sales pipeline by conducting discovery calls, architecture workshops, and shaping technical solutions for clients.
Design and develop end-to-end cloud data pipelines while optimizing ETL processes for scalability and performance. Lead a team of data engineers by providing technical guidance and collaborating with stakeholders to deliver actionable insights.
Design, build, and deploy advanced AI solutions using LLMs, RAG, and agentic architectures to automate workflows and transform unstructured data. Collaborate with cross-functional teams to deliver high-impact, production-ready AI applications across cloud platforms.
Lead the end-to-end architecture and delivery of enterprise-grade Power Platform and Copilot Studio solutions for clients. Define governance frameworks, security standards, and integration patterns while facilitating discovery workshops and stakeholder communication.
Design and implement scalable AI-driven applications on the Azure platform using a full-stack approach. Collaborate with cross-functional teams to integrate AI frameworks and optimize cloud-native deployments for performance and cost.
