The HR Generalist will own the full-cycle recruiting process, HRIS administration, and compliance management for a remote-first team. They will also serve as the primary point of contact for employee relations and provide executive-level HR reporting and metrics.
Define and implement scalable architectural solutions and data pipelines using Medallion Architecture and cloud-native technologies. Lead technical engagements, enforce data governance and security policies, and mentor team members on best practices.
Design and implement an enterprise data governance framework for a Microsoft Fabric platform, including cataloging, lineage, and access control. Collaborate with integration workstreams to define master data management strategies and ensure data quality across trading, finance, and logistics domains.
The Account Executive will manage the full sales cycle from lead generation to deal closure, focusing on middle-market accounts. They will also collaborate with internal teams to deliver customized solutions while utilizing an AI-augmented workflow to enhance productivity.
The Senior Data Engineer will build and maintain data transformation patterns within an enterprise Oracle environment while collaborating with client leadership. They will also contribute to the development of a hybrid lakehouse architecture using Apache Iceberg and cloud-native integration tools.
You will embed with client teams to map complex business processes and translate them into production-grade agentic AI workflows. This involves building integrations, designing decision logic, and facilitating working sessions to ensure solutions drive measurable ROI.
The Senior Data Engineer will design, build, and maintain scalable ELT pipelines using Snowflake, dbt, and Apache Airflow. They will also mentor team members, optimize platform performance, and support downstream reporting through modern BI tools.
The role involves building production-grade agentic workflows and LLM-powered systems while managing data pipelines and semantic context layers. You will also be responsible for establishing evaluation practices, observability, and providing technical leadership to clients.
Design and implement an enterprise data governance framework for a Microsoft Fabric platform, including cataloging, lineage, and access control. Collaborate with integration workstreams to define master data management strategies and establish data quality standards across trading, finance, and logistics domains.
The Principal Solutions Architect will lead technical discovery, design Lakehouse architectures, and manage the Databricks partnership strategy. They will also serve as the lead architect on major client engagements, overseeing technical delivery and team performance.
Lead the technical sales process by conducting discovery and designing architectures to win new deals. Transition from sales to delivery by guiding the technical direction and writing production-grade code for client engagements.
Act as a force multiplier for the founding team by bridging the gap between technical innovation and strategic execution. This includes prototyping internal AI workflows, managing company-wide operating cadences, and optimizing organizational systems to remove bottlenecks.
Lead client engagements by translating complex business questions into structured analytical problems and data products. Develop production-quality SQL models and dashboards while leveraging AI tools to accelerate delivery and improve quality.
