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 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 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.
Drive platform strategy and architecture for the Enterprise Data Platform using Snowflake, dbt, and Matillion.
Embed AI into data analytics by designing pipelines and RAG systems to transition teams into AI-ready units.
Enable self-service and mesh architecture while implementing robust governance and observability frameworks.
Zscaler accelerates digital transformation by providing cloud-native security solutions that protect customers from cyberattacks and data loss. The company fosters a culture of execution centered on customer obsession, collaboration, and accountability, with a focus on high-impact work.
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.
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.
Partner with the Director of Data to translate platform and data strategy into engineering execution, operating as peers across the data organization.
Provide strategic direction and technical leadership to the data engineering team, defining and executing the roadmap in alignment with broader business goals.
Operate as a hands-on leader split roughly 50% management and 50% individual contribution, building complex data systems and managing pipelines.
14 Technology Holdings manages a portfolio of data analytics firms serving over 400 clients worldwide in industries like automotive, healthcare, and media. The company employs over 100 people and fosters a collaborative, inclusive culture with diverse backgrounds.
Build the data platform by designing and maintaining scalable ELT/ETL pipelines and owning the cloud data warehouse.
Ensure data quality and governance through clean transformation layers, testing, monitoring, and security practices.
Partner across engineering and product teams to support product analytics, experimentation, and business reporting.
An international product company building SaaS products, AI-powered solutions, and modern web and mobile applications for global markets. They are scaling and investing in a modern data platform, with a collaborative, product-focused team.
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.
Build advanced data pipelines using Snowflake and AWS, leveraging AI-assisted development and Medallion Architecture.
Design analytical data models and write complex Python/SQL to ensure high performance and 99.95% uptime.
Mentor junior engineers and drive architectural improvements, supporting data governance and automation.
Spring Venture Group is a digital direct-to-consumer sales and marketing company specializing in Medicare Supplement and related products. It is a leading company with a family of brands and a dedicated team of licensed insurance agents, fostering a diverse and inclusive culture.
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, 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.
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.
Build, maintain, and operate data pipelines across Snowflake, Airflow, AWS, Python, and SQL.
Optimize Snowflake architecture at scale, including cost controls and performance tuning.
Lead incident response, drive postmortems, and enforce data platform standards across teams.
Attain Finance is a financial technology company that provides lending and financial services through multiple brands. They emphasize a technology-driven, collaborative culture with a focus on operational excellence.
Design, build, and scale reliable data infrastructure for products, analytics, and AI.
Lead technical evolution of the data platform toward AI-ready architecture.
Define data governance standards and mentor data engineering teams.
Our partner is a fast-growing fintech company focused on improving retirement access. They foster a mission-driven culture with opportunities for innovation and collaboration.
Design and implement scalable data platforms using Snowflake, Databricks, and AWS.
Build AI-ready data architectures supporting analytics, ML, and LLM applications.
Establish data governance, security, and best practices while mentoring engineering teams.
The company is a partner organization that specializes in data and AI solutions. It operates with a remote-first culture and emphasizes collaboration and continuous learning.
Own and govern experimental Snowflake schemas, translating vague ideas into clear data product strategies.
Lead a team in designing and developing scalable data solutions, establishing best practices for coding and automation.
Manage a portfolio of projects, ensuring high data quality, governance, and alignment with business objectives.
Liberty Mutual is an insurance company leveraging data to drive innovation and manage risk. They are a large organization with a focus on inclusion and professional development, offering comprehensive benefits and workplace flexibility.
Develop and implement Snowflake-based governance solutions for data quality, security, and compliance.
Build automated privacy processes and support data cleanup initiatives to maintain integrity.
Collaborate with cross-functional teams to design scalable data architecture and pipeline solutions.
Blend is a premier AI services provider, co-creating meaningful impact through data science, AI, and technology. We harness world-class people and data-driven strategy to unlock value for clients, with a focus on innovation and fulfilling work.
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.
Support Snowflake-to-Databricks data migration activities.
Design and implement scalable data pipelines using Snowflake, Databricks, SQL, Python, and dbt.
Optimize data workflows for performance, scalability, cost efficiency, and maintainability.
Hiflylabs is a Budapest-based company delivering Data Warehouses, Business Intelligence, and Data Analytics solutions. With over 250 employees and 10 years of experience, they serve financial, telecommunication, and energy sectors, fostering a culture of innovation and collaboration.