Define and execute the long-term data strategy and architecture, ensuring scalable, reliable, and trusted data foundations.
Design, build, maintain, and optimize high-impact data pipelines connecting business systems, internal platforms, and data warehouses.
Lead a multidisciplinary Data organization spanning Data Engineering, Machine Learning Engineering, and Analytics, driving team growth and technical excellence.
This company is a fast-growing technology organization that leverages data and AI to drive innovation. It fosters a collaborative environment with a strong emphasis on growth, ownership, and technical excellence.
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.
Design, build, and maintain a scalable data warehouse on Snowflake with clean models and documentation.
Implement data transformation with dbt to ensure reliable, well-tested pipelines.
Mentor analysts and peers, fostering a culture of learning and continuous improvement.
Age of Learning is a leading developer of Pre-K through 2nd grade learning resources. Having served over 55 million children worldwide, the company is a global leader in advancing equity, access, and opportunity for all children.
Design, build, and maintain scalable data pipelines and platform components for analytics, BI, data science, and AI.
Lead evolution of a Databricks-based Lakehouse platform, defining architecture, governance models, and engineering standards.
Provide senior technical leadership through architecture design, code quality standards, mentoring, and engineering decision-making.
Jobgether uses AI-powered matching to connect candidates with hiring companies. This role is for a partner company building a modern data and AI platform, fostering a collaborative and engineering-driven culture with emphasis on innovation and learning.
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.
Design and own the data foundations that power decision-making across product squads, customer success, marketing, and external stakeholders.
Build and maintain scalable semantic layers and self-service analytics systems enabling non-technical stakeholders to access trusted insights.
Partner with product squads to translate operational and product challenges into production-ready data pipelines and analytics assets.
Our partner company is building a fast-scaling product and data ecosystem where analytics is a product itself, supporting healthcare innovation. It is a mission-driven organization offering a remote-first work model with a Paris office and a collaborative culture.
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, mentor, and grow the data team while remaining hands-on with data architecture and analytics.
Drive data strategy and execution across core data systems and self-serve tools.
Partner cross-functionally to deliver trusted data resources and foster a culture of data quality.
Outschool is an online learning platform that connects learners with live, interactive classes. The company fosters a data-driven culture and values collaboration, though its size is not specified.
Own data end to end, from raw source to analysis that drives decisions for growth, finance, and product.
Build and operate pipelines in BigQuery with Airflow, model in dbt, and deliver analysis in Hex.
Work AI-first, using modern tooling to move faster while staying accountable for production output.
Supabase provides a complete backend platform including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search, built by developers for developers. With 280+ team members across 55+ countries and $500M raised, they are open-source-first and globally distributed.
Lead and build SQUIRE's data organization, balancing hands-on coding with strategic leadership.
Own long-term data architecture, pipelines, and standards, enabling company-wide automation and AI capabilities.
Manage a growing team of 5+ across Data Engineering, ML Engineering, and Analytics.
SQUIRE provides a business management system for barbers and shop owners, helping them manage operations, attract customers, and increase revenue. Founded in 2015, it is trusted by over 30,000 barbers across 5,000+ shops worldwide, fostering a culture of artistry and entrepreneurship.
Lead the strategic vision and execution of a unified data organization spanning Data Engineering, Data Science, AI, and Business Intelligence.
Shape scalable data platforms, drive AI innovation, and build high-performing teams that transform complex data into measurable business value.
Define technical roadmaps, establish best practices, and collaborate with senior stakeholders to support business growth.
Our partner is a company looking for a Head of Data & AI based in Germany. The size and culture are not specified, but the role is in a fast-paced, innovation-driven environment with a focus on data and AI.
Lead the design and delivery of scalable data solutions within a modern data engineering environment.
Act as a technical leader collaborating with business and IT stakeholders to transform complex requirements into effective architectures.
Build and optimize data platforms using advanced technologies such as Python, Snowflake, and SQL.
The partner company focuses on data-driven solutions and modern data engineering. The company size is not disclosed, but it offers remote work and collaboration with global teams.
Build and maintain data transformation pipelines using dbt and Snowflake, ensuring data quality and lineage.
Harmonize multimodal clinical data from multiple health systems into a unified ontological layer for AI developers.
Implement data quality tests, CI/CD, and version control best practices for analytics codebases.
Dandelion Health is a health tech company building the world's largest AI training and clinical development platform. It is a small, early-stage startup with a culture of learning from data and improving to help clients improve health through AI.
Design, build, and maintain robust, scalable ELT/ETL data pipelines from various source systems into cloud data platforms.
Perform data modeling, including dimensional modeling, and build transformation layers using dbt to create analytics-ready datasets.
Support operational reliability, monitor data pipelines, and ensure SLAs for timeliness, freshness, and accuracy.
Troveo builds the data platform that AI labs and model builders need to train the next generation of models. Backed by top investors, we’re a small, high-impact team solving one of the biggest bottlenecks in AI development.
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.
Design, build, and maintain scalable data pipelines for processing large volumes of transactional data.
Develop and own end-to-end data models, transformations, and analytics solutions for business intelligence and machine learning.
Evolve cloud-based data platforms and establish data quality practices to prepare for AI-powered use cases.
The company builds and scales data infrastructure for next-generation customer experiences and analytics platforms. It is a fast-growing technology company with a fully remote, collaborative culture.
Build and maintain data models and transformations powering reporting in the Skimmer product using Fivetran, dbt, and Sigma Computing.
Manage and extend data ingestion across growing sources, develop transformations in Python and SQL against Snowflake.
Partner with product and engineering to turn customer needs into reliable, performant reporting experiences.
Skimmer builds a product that helps pool professionals understand and grow their businesses through data models and customer-facing reports. The company has a strong culture with a very high eNPS, emphasizing hard work, celebrating wins, and continuous improvement.
Architect and optimize scalable data models and semantic layers in modern cloud data warehouses.
Build and maintain robust data pipelines and ETL/ELT workflows for seamless data ingestion.
Design intuitive, high-performance dashboards and interactive visualizations for actionable insights.
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. They offer nearshore technology services through staff augmentation and dedicated IT teams.
Work with senior business stakeholders to break down problems and design analytics solutions.
Provide technical leadership for best practices in data modeling, ETL, and data quality.
Design and build data pipelines to enable decision-making through analytics.
Nortal is a digital transformation company that delivers complex solutions for global enterprises and public sector organizations. With over 25 years of experience and 160 new hires annually, we foster a close-knit remote culture emphasizing autonomy, open communication, and respect for diversity.
Define and own the vision, strategy, and roadmap for data products that support data-driven insights and decision-making.
Act as the bridge between technical teams and business stakeholders to translate business needs into data solutions.
Ensure proper data governance, privacy, and compliance practices while monitoring data quality and user adoption.
Twilio is shaping the future of communications by delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide. With a remote-first culture and a strong commitment to global inclusion, Twilio fosters a vibrant team where diverse experiences make a global impact each day.