Drive technical success by leading customers through onboarding to advanced use case expansion.
Be a trusted technical partner for US Government customers navigating complex governance challenges.
Design cutting-edge proof of concepts and shape product evolution through customer insights.
Immuta is the Data Provisioning Company, helping organizations provision secure, governed data access at the speed modern business demands. Founded in 2015, Immuta is trusted by Fortune 500 companies and government agencies worldwide and operates as a hybrid workplace globally, with $267 million in total funding.
Define and execute the organization's long-term data strategy aligned with business objectives.
Own the architecture and evolution of the enterprise data platform, covering ingestion, transformation, storage, and data access.
Build, lead, and develop a high-performing data engineering team while establishing engineering standards and delivery best practices.
Pragmatike is a technology-driven financial services company that leverages data, AI, and modern engineering practices to deliver responsible digital financial products. The organization is scaling rapidly, with data becoming a core strategic capability supporting operational decision-making, customer experience, and regulatory compliance.
Own the end-to-end data platform architecture from source systems to serving, deciding where the stack consolidates.
Design the path for order data as it moves off the legacy monolith onto a new source of truth.
Bring real modeling rigor and a single semantic layer for core metrics like revenue, conversion, and retention.
Owner is an AI-native platform that helps local business owners, starting with restaurants, run their operations including website, online ordering, CRM, and POS. The company has a team of low hundreds and fosters a remote-first, global culture.
Define the 2–3 year vision for the data platform, aligning engineering initiatives with company goals to drive business growth.
Build and scale a multi-tiered data engineering organization, fostering technical excellence, mentorship, and high accountability.
Establish global data governance and compliance standards (GDPR/CCPA), ensuring data quality, security, and a single source of truth.
Engine is transforming business travel into something personalized, rewarding, and simple by building a platform that combines corporate travel, a charge card, and spend management. Over 30,000 companies and 1 million travelers rely on Engine; backed by Telescope Partners, Blackstone, and Permira, it's a fast-growing, cash-flow-positive fintech platform with a mission-driven culture.
Lead the architecture and evolution of our data platform, shaping how data is ingested, modelled, governed, and consumed across the business.
Set technical direction for the data engineering team, establishing standards for quality, reliability, and production readiness.
Build data infrastructure on AWS using Terraform, ensuring consistency and reproducibility across environments.
Safeguard Global helps 1,500+ customers hire, manage, and pay employees in nearly 190 countries. With offices worldwide and a workforce in 50+ countries, we emphasize a human-centered culture that values autonomy and flexibility.
Define and own the strategic architecture of Foodsmart's data platform, setting technical direction for scalable and governed data infrastructure.
Lead design and implementation of next-generation data pipelines, data models, and platform capabilities for advanced analytics and machine learning.
Establish company-wide standards for data quality, governance, security, and compliance, acting as a cross-functional technical leader.
Foodsmart is the leading Foodcare platform in the U.S., delivering nutrition-driven healthcare at scale through a national network of Registered Dietitians. The company serves over 3 million members, secured a $200 million investment in 2024, and values a customer-first, collaborative culture.
Influence technical strategy: Define and drive the long-term roadmap for the Lakehouse Platform, balancing scalability, reliability, and cost.
Design and develop platform capabilities for secure, discoverable, and easy-to-use analytical data across engineering, analytics, and ML teams.
Strengthen governance and access controls, improve analytics engineering foundations, and operate at scale with best practices for performance and cost optimization.
Affirm is reinventing credit to make it more honest and friendly, offering buy now, pay later solutions without hidden fees. With a remote-first culture, the engineering team focuses on building scalable, reliable infrastructure across multiple financial products.
Architect a greenfield, multi-layer data warehouse that separates analytical workloads from production traffic.
Build a semantic and metrics layer to ensure consistent metrics across all dashboards and products.
Own data quality, governance, multi-tenancy, and traceability for a scalable data platform.
Gather AI pioneers a vision-powered platform using autonomous drones to digitize warehouse workflows, capturing real-time data to improve efficiency and safety. As a leader in the robotics industry, the company fosters a collaborative culture focused on transforming the global supply chain.
Design and implement enterprise data governance frameworks including data quality, metadata, and policy definition.
Develop end-to-end data architecture and data flow models supporting analytics and AI/ML.
Lead current-state assessments and build actionable roadmaps for data maturity and AI readiness.
The partner company helps organizations become truly data-driven through data governance and strategy frameworks. Size and culture are not specified in the posting, but the role involves high-impact consulting and collaboration with senior stakeholders.
Define and execute ButterflyMX's enterprise data strategy to establish data as a key operating advantage.
Lead a team of data professionals to build governed data products and trusted metrics.
Partner with executives across functions to drive data-driven decisions and improve business outcomes.
ButterflyMX empowers people to open and manage doors and gates from a smartphone, with products installed in over 20,000+ properties worldwide. As a distributed, primarily remote workforce, they are looking for intelligent, passionate, collaborative, and ai-forward individuals to join their growing team.
Design and own ingestion pipelines from PostgreSQL and Kafka into the analytical platform.
Establish data governance practices including access controls, audit logging, and data lineage.
Define data quality, validation, and reconciliation processes for compliance and reporting.
They are a pre-launch fintech startup building blockchain-based payment infrastructure for real-time movement of digital money. As an early-stage team, they offer a remote-first working environment and the opportunity to build foundational systems from scratch.
Lead the design and optimization of modern data architectures for AI-driven applications.
Manage hybrid database environments and implement ETL/ELT strategies.
Act as a technical advisor and collaborate with engineering teams to deliver scalable solutions.
The partner company specializes in designing and building advanced data platforms for AI-driven applications. They foster a collaborative and inclusive culture with a focus on continuous learning and professional development.