Designing enterprise data warehouse architectures and data models.
Defining data integration strategies across multiple source systems.
Creating architecture and technical design documentation.
Goods & Services is a product design and engineering company that solves mission-critical challenges for large enterprises. Headquartered in the US, they have regional development centers in Mexico and the UK, operating with a nearshore model.
Lead the development and optimization of clinical data systems, driving data standardization and building scalable validation frameworks.
Architect high-performance databases and ETL pipelines, integrating data from diverse clinical systems across global trials.
Serve as a strategic liaison between Biostatistics, Clinical Operations, and Regulatory Affairs to translate clinical requirements into technical solutions.
Precision Medicine Group is a specialized life sciences company that accelerates the development and delivery of precision medicine. It has a global workforce and fosters a collaborative, compliance-oriented culture focused on innovation and regulatory excellence.
Define and own the enterprise data architecture strategy, including conceptual, logical, and physical data models across core domains.
Establish and govern data standards, naming conventions, schema design principles, and modeling best practices for data engineering teams.
Lead the design of scalable, reusable data products in the semantic and analytical layers, ensuring consistency across decision science and self-service consumption.
Goods & Services is a product design and engineering company that solves mission-critical challenges for large enterprises in regulated industries. Headquartered in the US, they operate regional development centers in Mexico and the UK, leveraging a nearshore model for scale and cultural alignment.
Lead the design and implementation of robust data platforms using Azure Data Stack, including Microsoft Fabric, Azure SQL, and Power BI, to enable data-driven decision-making.
Architect scalable data models, ETL/ELT pipelines, and analytics layers, ensuring data governance, security, and compliance with retention policies.
Mentor junior team members, perform code reviews, and drive adoption of AI-assisted data engineering tools and practices.
3Pillar is an AI transformation partner that builds AI-native products and intelligent agents for enterprises, working with leading companies in financial services, healthcare, media, and technology. With teams across North America, Europe, Latin America, and Asia, they foster a global, remote-first culture focused on innovation and collaboration.
Collaborate with U.S.-based clients to architect data solutions and translate requirements into technical specifications.
Design and build batch and real-time data pipelines, automate ETL processes, and ensure data accuracy and security.
Leverage advanced SQL, Python, and cloud data warehouse technologies to drive data-driven decision making for clients.
3Pillar Global is an AI transformation partner that helps enterprises build AI-native products and intelligent agents. With teams across North America, Europe, Latin America, and Asia, they foster a global, collaborative culture focused on modernizing and competing in the digital era.
Own user behavior analysis across the product, including journeys, engagement patterns, and usage frequency.
Monitor feature performance, adoption rates, and experimentation results to drive product value.
Identify friction points and translate findings into actionable recommendations for product leadership.
Our partner is a fast-growing company focused on data-driven innovation, building a complex SaaS platform that relies on product analytics to guide strategy. They offer a dynamic, highly collaborative environment where team members work closely with senior leadership and cross-functional teams.
Design, build, and maintain ETL pipelines moving data between application databases, cloud warehouses, third-party APIs, and object stores.
Partner with product managers, research scientists, and engineers to translate ML requirements into scalable data solutions.
Investigate and resolve data integrity issues including missing data, incorrect mappings, duplicates, and schema mismatches.
Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company has a network of over 500,000 linguists and domain experts with seven ISO certifications.