Remote Data Jobs • Data Architecture

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.

The Senior Manager of Data & Analytics will play a key role in evolving the data practice at Zayzoon, managing a team of data specialists and building strong data foundations to support the next level of scale. This role involves moving from legacy data systems to a modern data technology stack, introducing data governance, overseeing data operations, and fostering team growth through coaching and mentorship.

The Data Science team at Fieldguide leverages novel, proprietary datasets to build Fieldguide Insights – a product that delivers new-to-the-industry visibility into Audit and Advisory execution and performance. You'll work closely with product, design, engineering, and customer teams to build analytics and data science models that uncover key performance drivers.

As a Senior Data Engineer, you will have a pivotal role in large projects, bringing your data architecture and engineering expertise to help Pennylane meet its high delivery standards. You will continue designing data platform, from data ingestion and validation to transport, storage, and exposure to consumers. You will collaborate with other data engineering teams, sharing technical knowledge and defining best practices.

As a Senior Data Engineer at Later, you will play a crucial role in building and optimizing our data warehouse, providing a tremendous opportunity to shape our data infrastructure and support our rapid growth. You will design, implement, and maintain robust data pipelines and architectures that facilitate efficient data processing and real-time analytics. Collaborating with engineers, data partners, and stakeholders, you will leverage cloud technologies in developing impactful data solutions that transform raw data into actionable insights.

We are looking for people experienced with data architecture, design and development of database mapping and migration processes. This person will have direct experience optimizing new and current databases, data pipelines and implementing advanced capabilities while ensuring data integrity and security. Ideal candidates will have strong communication skills and the ability to guide clients and project team members. Acting as a key point of contact for direction and expertise.

The Senior Director of Product Analytics will be responsible for the driving force behind that mission—partnering with product and business leaders across the company to uncover impactful insights, scale our analytics capabilities, and shape how we make decisions at every level. You’ll lead a team of ~30 Analysts and Analytics Engineers embedded across vertical business units and strategic initiatives.

As an Analytics Engineer at Imagine Pediatrics, the role is responsible for developing and maintaining the core data models that power analytics and reporting across the organization. It requires a mix of technical expertise and analytical thinking, applying engineering best practices to transform raw data into well-defined, consumable datasets.

We are seeking a visionary VP of Data Engineering to lead the transformation of our data architecture, governance, and strategy. This executive will address current scaling challenges in our single database architecture while establishing a forward-looking data framework that supports GitLab's growth trajectory.

Advancing data analytics and master data management (MDM) capabilities are at the core of the company strategic vision to augment business decision-making. This role will be responsible for cultivating a culture of data stewardship and ownership across the enterprise. Crucial to ensuring data quality accuracy, security, and compliance of data, the role will involve working with the stakeholders to gather requirements, and design and implement standardized data governance policies.