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Senior Data Architect – Snowflake, Market Research
Truelogic Software. Design scalable datasets optimized for analytics, reporting, and business consumption.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Architecture and Data Engineering, with a strong focus on Snowflake optimization, data modeling, and query performance. Capable of designing scalable datasets and analytical solutions that meet business and operational needs.
Highest-signal resume keywords
Data ArchitectureSnowflake OptimizationData ModelingSQL ProficiencyQuery Optimization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureData EngineeringDatabase ArchitectureData ModelingQuery OptimizationAnalytical ArchitecturesSQLRelational Database FundamentalsMicroservice-Based ArchitecturesData Governance
Soft Skills
CollaborationCommunication
Tools & Technologies
Snowflake
Industry Keywords
Data EcosystemMarket ResearchAnalyticsBusiness ConsumptionData Structures
Tech Stack
Tools & technologiesMicroservicesSQL
About the role
Key responsibilities & impact- Design scalable datasets optimized for analytics, reporting, and business consumption.
- Review existing data structures and identify opportunities to improve query performance.
- Define effective data landing patterns based on analytical, product, and operational requirements.
- Optimize Snowflake architecture, including clustering, permissions, access patterns, governance, and performance.
- Determine how large and complex datasets should be structured for efficient querying and consumption.
- Design analytical solutions for data distributed across microservices and multiple source systems.
- Collaborate with Data Engineering, Data Science, Analytics, and business stakeholders.
- Establish data-modeling and architecture standards as the organization’s data ecosystem evolves.
- Support client projects for a market research company providing data, forecasts, benchmarks, and expert analysis across multiple industries.
Requirements
What you’ll need- Senior-level experience in Data Architecture, Data Engineering, or Database Architecture.
- Deep hands-on expertise with Snowflake.
- Advanced knowledge of data modeling, dataset design, query optimization, and analytical architectures.
- Experience designing scalable platforms for large or complex datasets.
- Strong understanding of Snowflake clustering, permissions, performance optimization, and data governance.
- Advanced SQL skills and strong relational database fundamentals.
- Understanding of modern data pipelines and microservice-based architectures.
- Ability to translate business and analytical requirements into efficient, accessible, and scalable data structures.
- Must currently be based in Latin America.
Benefits
Comp & perks- 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
- Highly Competitive USD Pay
- Paid Time Off
- Work with Autonomy
- Work with Top American Companies
- Engagement activities
- Work-life balance support
- Access to a diverse, global network of 600+ professionals in 25+ countries
- Collaboration with a multicultural team from Latin America
- Work alongside seasoned senior professionals