Own the fulfillment data asset as a product, defining the vision, strategy, and canonical model for the domain.
Build governed, trusted data products that feed analytics, machine learning, and decisioning workloads.
Drive delivery, adoption, and data health with strong stakeholder management and a focus on measurable business impact.
ezCater is the #1 food tech platform for workplaces in the US, making it easy for organizations to manage food needs and order from over 125,000 restaurants nationwide. The company values work/life harmony, employs passionate and engaged colleagues, and offers a high-performing, innovative environment.
Design and build a unified AWS-native data and AI platform supporting multiple products and projects.
Establish shared data models, pipelines, services, and serving layers for document intelligence, search, RAG, and analytics.
Define MLOps architecture including model deployment, monitoring, and retraining workflows.
International Consulting Associates, Inc. assists government clients with evaluating and achieving their objectives. It is a small but rapidly growing company with a collaborative 'one team' culture that prioritizes work-life balance.
Build and maintain internal tooling for the data team, including CLIs, automation scripts, and observability dashboards.
Define and manage Snowflake infrastructure as code via Terraform, ensuring performance and security.
Own data quality frameworks and CI/CD workflows for reliable data delivery across the organization.
Zensurance is an InsurTech company that provides digital-first commercial insurance solutions for Canadian businesses. They are a fast-growing company recognized for industry impact, with a collaborative and innovative culture.
Lead a team of data engineers to design and optimize scalable data solutions.
Architect and implement large-scale streaming and batch data processing using Kafka, Spark, and Hadoop.
Collaborate with cross-functional teams to define data strategies and ensure data governance and quality.
The company is a technology-focused organization that builds scalable data platforms. It offers a fully remote work environment with a collaborative culture and international teams.
Own the end-to-end architecture of a federated, multi-institution medallion lakehouse on Azure Databricks and Microsoft Fabric.
Define the federated, multi-tenant design that separates centrally governed shared layer from institution-administered catalogs.
Provide hands-on design authority and technical guidance to data engineers, BI developers, and governance staff.
CampusWorks redefines how higher education institutions use technology and managed services to drive transformation and student success. Founded in 1999, it is a large consulting firm that offers a virtual and onsite workplace, with team members across the U.S. and Canada.
Implement net-new functionality into the core Analytics platform to drive strategic priorities.
Maintain and optimize existing Analytics products for high availability and performance.
Partner daily with engineers, product managers, and designers to ship features from ideation to production.
Greenhouse provides a hiring platform to help companies hire effectively. The company is remote-first with offices in New York and Ireland, and has an award-winning culture focused on inclusivity and transparency.
Build and own the data platform backbone for governed reporting and trusted AI workflows on a small Data & AI team.
Drive architecture strategy, including ingestion patterns, Snowflake design, data contracts, and SLAs, while executing hands-on pipeline work.
Ensure data quality, governance, and reliability through observability, anomaly detection, and AI-enabled automation.
Fora Financial is a technology-enabled provider of flexible financing to small and medium-sized businesses. Since 2008, it has supported over 55,000 merchants with over $4 billion in capital and grown to nearly 200 employees with a collaborative, partner-centric culture.
Lead the Data & Observability Platform team to build scalable data capabilities and improve engineering velocity.
Partner with Data & Analytics, SRE, and Cloud Platform Engineering to deliver reliable platform foundations and observability.
Drive modernization of legacy data platforms into cloud-native patterns on GCP, Databricks, and dbt.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. With over 2000 employees worldwide and multiple Top Employer awards, we foster an innovative and collaborative culture.
Own the self-service data and storage layer for multimodal biological datasets.
Build platform services that enable self-serve data access and processing.
Engineer security into the data layer with access control and least-privilege.
Bioptimus is building the first universal AI foundation model for biology to accelerate breakthroughs in biomedicine. They are a fast-growing startup with over $75M in funding, headquartered in Paris, with a world-class team redefining AI and life sciences.
Own the entire data stack end to end, ensuring pipelines, dbt models, and dashboards are reliable and scalable.
Define and govern core company metrics, turning ambiguous business goals into precise, trusted definitions.
Lead and grow a high-performing data team, partnering with engineering and business leaders to drive data-driven decisions.
AIOS is building the world's first full-stack AI doctor, serving 150k patients per month via Bolt Pharmacy. At $350M ARR and growing rapidly, we are a profitable, founder-led company with a young, ambitious culture.