Remote Data Jobs · Data Modeling

• Define and communicate the long-term data architecture vision, aligned with the business strategy.
• Lead the evaluation and selection of technologies, frameworks, and standards for implementing the data architecture.
• Ensure compliance with data security regulations and standards.

• Scale the corporate People Data Warehouse to support analytics across multiple teams.
• Build and maintain ETL pipelines using Hive, Spark, or other MPP database architectures.
• Identify, diagnose, and resolve complex data issues.

• Develop and operate modern data architecture approaches to meet key business objectives.
• Develop intricate data processing pipelines, addressing clients' most challenging problems.
• Collaborate with data scientists to design scalable implementations of their models.

• Play a pivotal role in transforming raw data into actionable insights that drive strategic decisions.
• Maintain accurate and accessible data pipelines while building automated dashboards and reports.
• Improve data integrity, governance, and usability for teams across the organization.

Design, develop, and maintain Snowflake-based data pipelines and ELT workflows. Develop Snowflake objects, including tables, views, stored procedures, and UDFs. Monitor and optimize Snowflake performance using query profiling and workload management.

Shape and evolve a modern, cloud-based data platform. Design and implement domain-oriented data products, optimize ETL/ELT pipelines. Build a robust data lake and support near real-time reporting and analytics.

Shape and evolve a modern, cloud-based data platform. Design and implement domain-oriented data products, optimize ETL/ELT pipelines. Build a robust data lake and support near real-time reporting and analytics.

Join a dynamic Managed Services team as a Data Architect, delivering architecture, support, and optimization for client data platforms. In this role, you will design and implement advanced data solutions, including data lakes, warehouses, and analytics pipelines. The role demands both deep technical expertise and strong consulting skills to drive client success, working in a fast-paced, remote-friendly environment alongside highly skilled professionals.

The Senior Manager, Data Strategy & Analytics is a high-leverage leadership role responsible for maximizing the value of the organization's data assets to drive strategic decision-making. This role acts as the primary data priority owner, translating executive strategy into technical requirements and analytical outputs. They will define and advance the organizational Data Strategy and Maturity Roadmap, while also leading the execution of advanced analytics to support key business decisions.

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.