Lead a team of three leaders and ~40 people across the Retail Data Domain, SRE, and Incident Management tasks. Collaborate with technology product teams, executives, and store teams to deliver applicable insights across the organization. Champion a culture of innovation, reliability, and data-driven decision-making across a geographically distributed organization.
Own Neko’s Data Engineering strategy, ensuring long-term leadership in preventive health.
Drive innovation in data engineering technologies and practices, balancing current and future needs.
Build a platform supporting responsible AI — fairness, privacy, explainability, and compliance.
Neko Health is a Swedish healthcare technology company focused on shifting healthcare from reactive treatment toward preventative health and early detection. They have over 500 employees with offices in Stockholm, London and Manchester and are focused on creating a flexible work environment.
Own Mixbook’s data platform end-to-end, including ingestion, orchestration, transformation, and the Redshift data warehouse
Stabilize and harden fragile pipelines, reducing data incidents and reactive firefighting
Define and enforce best practices for dbt modeling, data quality, and metric consistency
Mixbook is the #1 rated photo book service in the US. They are known for their intuitive design platform, exceptional quality, and fanatical customer service, empowering over 6 million people to design and share their one-of-a-kind stories.
Freshpaint helps healthcare marketers promote access to care and safeguard patient privacy. The company is fully remote, backed by leading investors including Y-Combinator, Intel Capital, and angel investors, and it gathers the team 2x times per year for offsites.
As SVP of Data & Infrastructure, you will report to the CTO. Your role requires strong technical leadership skills and the ability to drive high business impact across multiple projects. You will lead a world-class remote engineering team based in the United States.
They are a team of experts working to improve health outcomes and reduce the cost of the American healthcare system.
Own the Data Products: You aren't just moving data; you are building durable, high-performance data assets that the business relies on.
Empower the Consumers: Your team is the force multiplier for Data Science and Analytics. You remove the friction of data cleaning and query optimization so they can focus on insights.
Enforce Technical Rigor: You ensure that our data models are not just accurate, but performant, scalable, and built with software engineering best practices.
Dandy is transforming the massive and antiquated dental industry. They aim to simplify and modernize every function of the dental practice through technology.
Lead and mentor a team of data engineers, providing feedback and support for career growth.
Define and execute the long-term vision for Donorbox's data engineering infrastructure, focusing on scalability.
Maintain, optimize, and scale the Postgres data warehouse, serving as the source of truth for analytics and reporting.
Donorbox is a leading fundraising platform and donor management system for nonprofit organizations that helps nonprofits become highly effective at raising funds.
Lead teams in the development of our integrated marketing platform and have a direct impact on the success of our company. Work with large data sets and have exposure to modern tech stacks React, Typescript, Ruby on Rails, GraphQL, Golang and more. Lead the teams responsible for building and evolving the core platforms that power StackAdapt’s products and engineering organization.
StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision.
Lead a world-class data engineering practice, shape up technical strategy and data architecture.
Develop data products to enable reporting, analytics, data science, machine learning, and AI workloads.
Partner with IT, data platform, product engineering, analytics teams and data scientists to support multiple programs.
Atlassian's software products help teams all over the planet, and their solutions are designed for all types of work. They believe that the unique contributions of all Atlassians create their success and value a culture that incorporates everyone's perspectives and experience.
Lead and grow a team of 4+ Data Engineers, fostering a culture of technical excellence. Design data pipelines that manage complex dependencies between products, ensuring data integrity and timeliness. Champion high standards for code and architecture using Spark and AWS.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster.
Lead and mentor multiple teams across SRE, cloud infrastructure, and platform engineering functions.
Drive multi-team initiatives to deliver scalable, secure, and cost-efficient infrastructure leveraging AWS-native and serverless technologies.
Drive adoption of FinOps practices and partner with finance and product teams on budgeting and forecasting.
Model N is the leader in revenue optimization and compliance for pharmaceutical, medtech, and high-tech innovators. Model N is trusted by over 150 of the world’s leading companies across more than 120 countries.
Coach, Motivate, Build, Hire, and Lead a world-class team of passionate Infrastructure engineers with a knack for high scale/high performance data pipelines and storage systems
Lead, coordinate, and execute a coherent vision for a ruthlessly prioritized infrastructure roadmap based on business needs
Set and support a culture of data-informed decision making, with efficient processes and strong transparency
Reddit is a community of communities built on shared interests, passion, and trust, and is home to open and authentic conversations. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
This role will see you: Coaching a team of embedded data scientists to deliver insights and strategic clarity. Owning key metrics for onboarding, personalisation, and lifecycle journeys Using data to guide decisions. Translating data into actionable recommendations — and setting the standard for high-impact analysis and storytelling.
Provide leadership and guidance to the data engineering team, fostering a collaborative work environment. Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools and methodologies. Oversee the design and architecture of data solutions, collaborating with data architects and other stakeholders.
Lingaro has been on the market since 2008, with 1300+ talents currently on board in 7 global sites.
Build and scale two high-performing engineering teams by recruiting, hiring, and developing engineers.
Drive execution on multiple strategic initiatives simultaneously, including reporting infrastructure improvements and Enterprise Hub development.
Set technical direction and guide product strategy for data products, working closely with Product Managers.
Vanta helps businesses earn and prove trust by empowering companies to practice better security and prove it with ease. They have a kind and talented team, and while some have prior security experience, many have been successful without it.
Lead the conceptual shift from general "data quality" to Data Reliability across the entire organization.
Design, prototype, and champion a single, centralized "Data Reliability Source of Truth" platform to measure and display reliability KPIs.
Create the technical framework and reference architecture necessary to automate the creation, deployment, and monitoring of Data Reliability checks.
Komodo Health's mission is to reduce the global burden of disease through smarter use of data and its Healthcare Map, the industry’s largest view of the U.S. healthcare system.
Lead the Reliability & Operations function within the Developer & Production Enablement (DPE) division of RWS’s Product & Technology organization. Take ownership of global production operations and lead the transition from manual, ticket-based workflows to platform-integrated automation. Ensure stability today, while designing for scalability and autonomy in the future.
RWS's purpose is to unlock global understanding, valuing every language and culture, and celebrating diversity and inclusion to make the company strong.
Lead efforts to improve and scale our promotion architecture, optimize data infrastructure, enhance analytical models, and enable data-driven decision-making across the organization. Manage the partnership with our Product and Engineering teams to support works across some of Wealthsimple’s highest priority efforts. Build robust, efficient, and integrated data models in cloud data warehouse that will be used as the source of truth for analytics across the Investing product organization.
Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money.
Design, implement, and maintain scalable ETL/ELT pipelines using Python, SQL, and modern orchestration frameworks. Build and optimize data models and schemas for cloud warehouses and relational databases, supporting AI and analytics workflows. Lead large-scale data initiatives from planning through execution, ensuring performance, cost efficiency, and reliability.
This position is posted by Jobgether on behalf of a partner company.