Remote Data Jobs • Snowflake

As a Snowflake Data Architect, at the heart of the organization, you will support our clients to take control of their data and get value out of it by defining a reference architecture for our customers. This means that you will work closely with business leaders and information management teams to define and implement a roadmap on data management, business intelligence or analytics solutions.

You’ll be a core part of a growing data team that operates similar to internal consultants. You’ll plug into high-impact initiatives across the business by helping partner teams unlock efficiency and growth through data. You’ll work cross-functionally with GTM, Product, Operations, and other teams to uncover insights, build tools and dashboards, and drive strategic recommendations.

Drive personalization, recommendation, and product marketplace improvement efforts. Should think like a Grailed user as well as a business owner, understanding how data impacts a fashion-forward user experience. This key role will operate at the intersection of Data, Product, Engineering, and Marketing, working cross functionally to develop compelling data products.

Design, build, and maintain the data foundation behind our next-generation AI agent platform. You’ll work closely with AI/ML teams to power training, inference, and continuous learning through highly scalable data pipelines and cloud-native architectures. If you’re passionate about data infrastructure, performance optimization, and driving data quality at scale, we want to hear from you.

The ETL Data Architect will perform data analysis, ELT/ETL design and support functions to deliver on strategic initiatives. Responsibilities include developing, documenting, and testing ELT/ETL solutions using industry standard tools (Snowflake, Denodo Data Virtualization, Looker), recommending process improvements, and extracting data from multiple sources. The candidate should be willing to explore and learn new technologies.

Collaborate cross-functionally to ask the right questions, uncover insights, and drive strategic decisions. Design, build, and maintain robust data infrastructure and pipelines to support analytics and product use cases. Translate complex business needs into scalable data solutions using modern data tools. Guide best practices in data modeling, transformation, and visualization. Own and evolve our analytics platform.

Analyze data to identify trends, patterns, and insights that can drive informed business decisions. Design and create visually appealing and user-friendly Tableau and Snowsight dashboards. Build and maintain data pipelines to ensure the availability of accurate and up-to-date data.

Manage and enhance the company's data warehouse, ensuring alignment with best practices and internal standards. Translate business requirements into efficient, reliable datasets within the Data Lake and oversee data layer management in Snowflake. Design and implement data models, views, and aggregates using dbt.

Looking for DataBrick Engineers to support companies in cloud transformations. The work involves migrations, data collection, and solution optimization. The client values long-term collaboration and is looking for specialists for a project using Snowflake. Familiarity with cloud environments (Azure and/or AWS) and knowledge of Python and SQL are crucial, with Snowflake knowledge being a plus.

We’re seeking a Senior Data Analytics Engineer for our Data Commercial team. The Data team is both a support function and strategic partner at Fullscript and will continue to be a key area of business value going forward. Data is used to drive effective decision-making and growth through opportunity analysis, experiment design and iteration, and building dynamic experiences for our customers.