Data Architect

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Define and take ownership of the enterprise data architecture strategy, which encompasses conceptual, logical, and physical data models across the organization's core domains.

• Establish and manage data standards, naming conventions, schema design principles, and modeling best practices utilized by Data Engineering and Analytics Engineering teams.

• Lead the creation of scalable, reusable data products within the semantic and analytical layers, ensuring uniformity across Decision Science, Data Science, and self-service usage.

• Collaborate with the Product Data team to synchronize shared architectural standards, data contracts, and platform decisions—functioning as a peer and collaborator rather than a dependency.

• Assess and provide guidance on data platform and tooling choices (cloud data warehouses, lakehouse frameworks, orchestration, metadata management, cataloging).

• Identify and address architectural gaps, redundancy, and data quality risks throughout the data landscape.

• Contribute to—and frequently lead—the creation of a business glossary, data catalog, and enterprise ontology for significant data domains.

• Serve as a senior advisor to Data Science regarding data availability, feature engineering infrastructure, and model data requirements.

• Work together with Decision Science leadership to ensure that analytical data models are designed for performance, clarity, and governed self-service.

• Advocate for data governance, lineage, and observability as critical architectural concerns.

• Mentor and guide engineers and analytics engineers on architectural patterns and data modeling best practices.

⛳️ Requirements

• Over 8 years of experience in data architecture, data engineering, or a closely related field within a complex, multi-team data environment.

• Proven experience in designing and overseeing enterprise data models across transactional, analytical, and semantic layers.

• Extensive knowledge of contemporary data stack patterns: cloud data warehouses (Snowflake, BigQuery, Databricks), lakehouse architectures, dbt, and data cataloging tools.

• Strong understanding of data modeling methodologies—dimensional modeling, Data Vault, OBT, and the appropriate application of each.

• Experience in establishing or enhancing data governance programs, including metadata management, lineage, and data quality frameworks.

• Capability to engage with both technical and business stakeholders—translating architectural choices into tangible business value.

• Experience collaborating with Data Science teams on feature engineering, training datasets, or MLOps data infrastructure.

• Exceptional communication and documentation skills; able to articulate architectural concepts clearly to both technical and executive audiences.

• Experience working within matrix or cross-functional settings, adept at navigating organizational boundaries without direct authority.

🏝️ Benefits

• Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.

• Flexible work culture. Our remote, hybrid, and in-office collaboration spaces vary by role, team, and location.

• Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.

• Comprehensive wellness programs and mental health support.

• Annual learning and development stipends to support your growth.

• The technology and tools you need to do your best work.

• Motivosity employee recognition program.

• A culture rooted in inclusivity, support, and meaningful connection.