Hire Data Modeling Experts
Discover Data Modeling Experts from LatAm with Lupa. Skilled in dimensional modeling and architecture design with remote onboarding in just 21 days.
Hire Remote Data Modeling Experts
Andrea is a data thinker delivering clarity through structured and accurate analytics.
- Data Cleaning
- Data Analysis
- Visualization
- Business Reporting
- SQL
Cristian is a data analyst turning complex datasets into actionable business insights.
- Reporting Dashboards
- Data Queries
- KPIs & Metrics
- Process Analysis
- Insight Generation
Alejandra is a data expert helping teams make better decisions through deep analysis.
- Data Reporting
- Data Governance
- Visualization Tools
- Process Optimization
- Trend Monitoring
Gabriela is a Data professional translating analytics into business opportunities.
- Data Analysis
- Business Intelligence
- SQL
- Reporting
- Data Visualization
Óscar is a data thinker uncovering patterns to drive business and product decisions.
- Data Architecture
- ETL Pipelines
- Business Intelligence
- Data Modeling
- SQL & Python
"Over the course of 2024, we successfully hired 9 exceptional team members through Lupa, spanning mid-level to senior roles. The quality of talent has been outstanding, and we’ve been able to achieve payroll cost savings while bringing great professionals onto our team. We're very happy with the consultation and attention they've provided us."
“We needed to scale a new team quickly - with top talent. Lupa helped us build a great process, delivered great candidates quickly, and had impeccable service”
“With Lupa, we rebuilt our entire tech team in less than a month. We’re spending half as much on talent. Ten out of ten”
Data Modeling Experts Skills
Dimensional Modeling
Design star and snowflake schemas for analytics.
Normalization & Denormalization
Structure relational models for flexibility or speed.
Data Architecture
Create scalable models aligned with business logic.
Tool Proficiency
Work in dbt, ER/Studio, or enterprise modeling tools.
Data Lineage Mapping
Track data flows from source to report.
BI Integration
Model data for easy use in Tableau, Looker, or Power BI.
Data Modeling Experts Soft Skills
Structured Thinking
Organize systems clearly with logical data design.
Collaboration
Work with BI, dev, and data teams on model usage.
Documentation
Maintain clarity in schema, lineage, and relationships.
Precision
Model data that supports performance and accuracy.
Problem Solving
Redesign structures to support scaling or changes.
Communication
Explain data logic to technical and non-technical teams.
How to Hire Data Modeling Experts with Lupa
Design scalable, optimized data architectures with modeling specialists. Hire through our Latam Tech Recruiting, augment your team with IT Latam Staffing, or build long-term with our RPO services.
Together, we'll create a precise hiring plan, defining your ideal candidate profile, team needs, compensation and cultural fit.
Our tech-enabled search scans thousands of candidates across LatAm, both active and passive. We leverage advanced tools and regional expertise to build a comprehensive talent pool.
We carefully assess 30+ candidates with proven track records. Our rigorous evaluation ensures each professional brings relevant experience from industry-leading companies, aligned to your needs.
Receive a curated selection of 3-4 top candidates with comprehensive profiles. Each includes proven background, key achievements, and expectations—enabling informed hiring decisions.
Top candidates ready for your assessment. We handle interview logistics and feedback collection—ensuring smooth evaluation. Not fully convinced? We iterate until you find the perfect fit.
We manage contracting, onboarding, and payment to your team seamlessly. Our partnership extends beyond hiring—providing retention support and strategic guidance for the long-term growth of your LatAm team.
How to Write an Effective Job Post to Hire Data Modeling Experts
Recommended Titles
- Data Modeler
- Data Architect
- Information Model Designer
- Database Schema Designer
- Conceptual Data Modeler
- Enterprise Data Architect
Role Overview
- Tech Stack: Experienced with ERwin, dbt, SQL, and cloud data platforms.
- Project Scope: Design scalable data models that support analytics, governance, and BI tooling.
- Team Size: Partner with analysts, engineers, and architects in cross-functional teams.
Role Requirements
- Years of Experience: At least 4 years modeling enterprise datasets or schemas.
- Core Skills: Dimensional modeling, normalization, data warehouse design, metadata definition.
- Must-Have Technologies: SQL, ERwin, dbt, Redshift, BigQuery.
Role Benefits
- Salary Range: $100,000 – $155,000 depending on modeling scale and industry domain.
- Remote Options: Remote-first with optional in-person workshops.
- Growth Opportunities: Define semantic layers and impact long-term data usability.
Do
- Include experience designing relational and dimensional models
- Mention ERDs, normalization, and schema design expertise
- List proficiency with data warehousing platforms
- Highlight alignment with BI and reporting requirements
- Use structured, database-aware job descriptions
Don't
- Don’t lump into analyst or warehouse roles without modeling clarity
- Avoid omitting ERD, normalization, and schema design
- Don’t use generic data terms without logical structure insight
- Refrain from listing only tools without techniques
- Don’t ignore business-layer alignment of data models
Top Data Modeling Expert Interview Questions
What to ask Data Modeling Experts in screening calls
How do you approach data modeling for analytical workloads?
Look for star/snowflake schema discussions, denormalization, and support for OLAP use cases.
What’s your experience with dimensional modeling?
Expect clear understanding of facts, dimensions, slowly changing dimensions, and surrogate keys.
How do you collaborate with stakeholders in modeling?
Strong answers include data discovery sessions, iterative prototyping, and business glossary alignment.
Which modeling tools or platforms have you used?
Expect dbt, ER/Studio, SAP PowerDesigner, or native tools in Redshift, BigQuery, or Snowflake.
How do you handle model refactoring as business evolves?
Look for incremental updates, versioning, backward compatibility, and stakeholder communication.
How do you resolve conflicts between dimensional and transactional models?
Look for hybrid modeling approaches, OLAP/OLTP separation, and business context clarification.
Describe a case where a model needed redesign due to performance issues.
Expect identification of joins, indexing problems, and structural re-architecture.
How do you validate the effectiveness of a data model?
Expect data accuracy tests, query performance benchmarks, and stakeholder feedback alignment.
What’s your process when a model doesn’t reflect business rules?
Expect collaborative workshops, model versioning, and documentation updates.
How do you balance normalization and query performance?
Expect understanding of denormalization trade-offs, indexing, and workload-aware design.
Tell me about a time you redesigned a data model for scalability.
Expect justification of choices, impact metrics, and collaboration across engineering teams.
How do you handle stakeholder pushback on model complexity?
Expect examples of simplification, clear communication, and compromise without sacrificing integrity.
Describe a project where you introduced new modeling standards.
Expect emphasis on documentation, training, and peer alignment.
How do you balance flexibility with enforceability in your data designs?
Expect structured governance, modularity, and iteration planning.
What’s your approach when inherited data models are poorly structured?
Expect reverse engineering, technical debt tracking, and phased improvements.
- Over-normalized or under-structured data models
- Inability to explain trade-offs between model types
- Fails to align models with analytical needs
- Poor documentation of data relationships
- Inflexible modeling not suited for scaling
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