As an Software Engineer III, Data Platform, you'll be both a hands-on technical expert and a strategic leader. You'll drive the design of core data models and pipelines in our Snowflake and Clickhouse lakehouse, setting the standards for quality, reliability, and scalability across the platform. You'll own end-to-end solutions while helping guide the long-term direction of GlossGenius' data ecosystem.
Remote Data Jobs · Data Architecture
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The Associate Director, Data Platform will be responsible for the roadmap and continued enhancement of the Privia Health data platform and input to the overall platform strategy and roadmap. This role will be highly integral to defining the strategic growth and interoperability of Privia's core technology, as we scale the data and platform needs of our expanding Care Partners business model.
Mux is seeking an exceptional Director of Data & Business Systems to architect the future of data. This is a unique player-coach role for someone who loves being hands-on with data engineering and analytics while also setting strategic direction and building a high-performing team. You'll split your time between driving critical technical projects yourself and leading a small team of data professionals to transform how Mux captures, models, and leverages data across the organization.
Lead the current state assessment of Client's data platform, including architecture, tooling, data governance, and data flows. Design a future-state logical architecture based on business and customer needs. Develop a multi-phase roadmap for platform modernization, including migration strategy, and stakeholder alignment. Facilitate executive and stakeholder workshops to gather input.
Lead Change.org’s data engineering functions, building the foundation for organizational insight, scale, and reliability, ensuring that their 50+ million monthly users, thousands of campaign creators, and internal teams have trusted, high-quality, and accessible data to drive impact around the world. The role involves owning the architecture, scalability, and performance of data pipelines, storage, and access patterns.
As the Leader of our Data as a Product (DaaP) initiative within the Enterprise Analytics team, you will be a pivotal change agent in our data transformation, spearheading the shift from traditional, centralized data management to a domain-oriented, data product-based approach. This role will evangelize DaaP concepts and operationalize a federated governance framework required to treat enterprise data as discoverable, trustworthy, and reusable assets.
Embark on an exciting journey into data engineering and architecture. As a Data Architect you will be at the heart of the organization and support clients to take control of their data and get value out of it by defining a reference architecture for our customers. Work closely with business leaders and information management teams to define and implement a roadmap on data architecture, data management, business intelligence or analytics solutions.
A Place for Mom is seeking a Director, Data Products to help build the future of their senior care data ecosystem. This role will define and drive how they systematically collect, organize, and package their internal proprietary data to maximize value for the families they serve and their partners within the senior care space. This director of Data Product role will be at the helm of building their product offering designed specifically for community customers.
The Data Architect / Lead Data Engineer serves as both a strategic enterprise architect and hands-on technical leader, responsible for designing and implementing secure, scalable, and compliant data architectures. This role leads discovery and assessment of existing data ecosystems, defines future-state architectures and migration options, and supports data platform modernization efforts. Architects solutions in both on-prem and FedRAMP-authorized cloud environments.
Design and lead the next phase of our cloud data strategy, defining and implementing best practices for scaling data workloads across Azure and Snowflake, ensuring performance, security, and cost efficiency, shaping a robust, compliant, and future-proof data platform that empowers data-driven insights.