Source Job

• Lead the Data Engineering team to design, build, and operate scalable data pipelines powering analytics and AI.
• Partner with cross-functional leaders to define technical strategy, roadmap, and execution for the enterprise data platform.
• Drive engineering excellence through improved data quality, reliability, observability, and governance.

Omada Health is reverse engineering healthcare delivery in America, focusing on chronic conditions like obesity, diabetes, and hypertension. With over two million members served and a strong remote-first culture, the company has been certified as a Great Place to Work.

• Lead and mentor a team of data and analytics engineers, including hiring, performance management, and career development.
• Define the data engineering and analytics roadmap, prioritizing data platform investments and cross-functional initiatives.
• Oversee data infrastructure design, reliability, and governance, ensuring accurate dashboards and analytics delivery.

Serve Robotics is reimagining urban deliveries with personable sidewalk robots. We are a team of tech industry veterans in software, hardware, and design, agile, diverse, and driven, focused on collaborative problem-solving.

• 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.

• Oversee practice area financial performance, including utilization, margin, and investments.
• Lead delivery teams, ensuring client success through executive sponsorship and technical excellence.
• Develop and manage the practice's technology strategy, client journeys, and delivery patterns.

3Cloud is a technology consultancy specializing in data platforms and cloud architecture, with deep expertise in Microsoft Azure. The company emphasizes a culture of experimentation, candid feedback, and collaborative teamwork to deliver outstanding client solutions.

• Lead the enterprise data strategy and long-term data roadmap for Matter Health.
• Design, build, and optimize scalable cloud-based data platforms and analytics infrastructure.
• Partner with executive leadership to deliver operational, clinical, financial, and strategic insights.

Matter Health is a value-based primary care organization dedicated to enhancing healthcare access for older adults living in affordable housing communities. They bring primary and preventive care directly to members' residences, removing barriers to care and building trusted relationships for better health outcomes.

• Lead the architecture and scalability of a mission-critical data platform.
• Establish data governance, quality standards, and Data-as-a-Product approach.
• Mentor and grow a distributed data engineering team in a remote-first environment.

Our partner is a healthcare technology company focused on improving health outcomes through data-driven insights and AI. They have a remote-first culture and emphasize collaboration, innovation, and professional growth.

• Lead the strategy, architecture, and execution of a scalable data ecosystem for business intelligence and AI.
• Manage and grow a team of data platform engineers, fostering a culture of technical excellence.
• Partner with product and analytics teams to deliver data-driven customer experiences and insights.

Jobgether is a platform that uses AI-powered matching to connect job seekers with hiring companies. They operate a remote-first environment and focus on providing a streamlined application process.

• Architect and own the data platform end to end, including pipeline orchestration, dbt project, and warehouse infrastructure for peak performance and reliability.
• Mentor and scale a high-performing distributed data engineering team, driving technical excellence through rigorous design reviews and architectural discipline.
• Partner strategically across the business to translate ambiguous needs into scalable solutions, fixing classes of problems rather than individual instances.

Foodsmart is a leading telenutrition and foodcare solution backed by a network of Registered Dietitians, designed to foster healthier food choices and drive lasting behavior change. With over 2.2 million members and a $200 million investment from TPG's Rise Fund in 2024, the company values customer focus, urgency, and collaboration.

• 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.

• Partner with leadership to develop an AI-enabled data analytics strategy for scale.
• Establish best-practice governance across the data ecosystem ensuring accuracy and compliance.
• Mentor technology leaders and foster a culture of data-informed decision making.

Jane is a founder-led, high-growth SaaS company building products that thousands of clinics rely on daily. With over 700 employees working remotely across Canada, the US, and the UK, we foster a culture of adaptability, resilience, and delight.

• 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.

• 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.

• Lead the Analytics Engineering team to build a trusted semantic metrics layer powering decision-making across the company.
• Partner cross-functionally with Engineering, Product, Data Science, Finance, and Executive Leadership to define data strategy and ensure scalable, accessible data.
• Drive technical excellence in data modeling, governance, and infrastructure while managing and developing a high-performing team.

HighLevel is an AI-powered business operating system that provides agencies, entrepreneurs, and SMBs with infrastructure to build, automate, and scale their operations. With over 2,000 team members across 10+ countries, we operate as a global, remote-first organization built for speed and ownership, fostering a culture of initiative, clarity, and execution.

• Lead a centralized team of data engineers and applied data scientists to build scalable data infrastructure, machine learning systems, and analytics foundations.
• Partner with cross-functional leaders to translate business needs into technical solutions, balancing long-term platform investments with immediate priorities.
• Champion data quality, governance, observability, and modern engineering practices across the data ecosystem to drive operational efficiency and AI-powered experiences.

Our partner is a technology company that leverages data and AI to enhance user experiences through scalable data infrastructure and machine learning systems. They foster a collaborative, inclusive, and high-performing culture with a remote-first approach and a focus on professional growth.

• Lead a team of data engineers, analysts, and scientists to build Docker’s next-generation data framework and optimize data sharing across the organization.
• Own the roadmap for data modeling and insights delivery, align projects with business objectives, and maintain Docker’s single source of truth for data.
• Facilitate discussions with business leaders to identify data capabilities, build data strategy, and mature data models for self-serve analytics and machine learning.

Docker is a developer tooling company trusted by over 20 million monthly users and more than 20 billion container image pulls. They are a globally distributed, remote-first team building the tools that define how software gets built and delivered.

• 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.

• 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.

• 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.

• Actively own the end-to-end delivery cycle for critical client accounts, extracting data and executing advanced analyses.
• Serve as a trusted advisor to senior brand and retailer stakeholders, driving mutual revenue and optimizing campaigns.
• Serve as a core liaison connecting Sales, Engineering, Data Science, and other teams to align technical capabilities with market demands.

Avery Dennison is a global materials science and digital identification solutions company with locations in over 50 countries and approximately 35,000 employees worldwide. They foster a culture of curiosity and courage, committed to diversity and innovation.

• Design and deliver scalable data integration and analytics architectures using Microsoft Azure and on-prem technologies.
• Lead project implementations, mentor junior team members, and support pre-sales efforts with technical expertise.
• Own the project backlog, sprint planning, task estimations, and ensure projects stay on track within budget.

MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights. Established in 2002, it has grown into one of the largest US-based solution partners in Microsoft Business Applications and Azure Data & AI, and is a fifteen-time Microsoft Partner of the Year and three-time Inc. Best Workplaces award winner.