Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com. 

What is this position about? 

We are looking for Data Architect to lead the initial phase of a data platform transformation. This person will be responsible for evaluating the current Databricks environment, defining the target architecture, and establishing the technical foundation for scalable, governed data solutions in the cloud. 

• Assess the existing Databricks environment and evaluate prior implementations 
• Identify components that can be leveraged versus those requiring redesign or rebuild  
• Analyze and map source systems (e.g., CareMore) to support scalable data ingestion and integration  
• Design the target-state medallion architecture (Bronze, Silver, Gold layers)  
• Define ingestion and transformation strategies using modern data engineering practices  
• Establish governance and security framework leveraging Unity Catalog 
• Define data modeling standards for downstream analytics and reporting (Gold layer readiness)  
• Collaborate with engineering teams to ensure architecture is implementable and scalable  
• Document architecture decisions, trade-offs, and best practices for execution teams 

• Bachelor's degree in computer science or related degree.  
• Strong experience with Databricks and modern data lakehouse architectures  
• Advanced proficiency in SQL for data modeling, transformation, and performance optimization  
• Strong programming skills in Python (PySpark preferred) for data processing and pipeline design  
• Hands-on experience designing ETL/ELT pipelines at scale  
• Experience with cloud platforms (Azure preferred; AWS/GCP also relevant), including storage, compute, and security services  
• Proven experience designing medallion architectures (Bronze/Silver/Gold) 
• Experience with data governance and security frameworks (Unity Catalog or similar)  
• Ability to assess legacy systems and define modernization or migration strategies  

Nice to Have 

• Experience with Delta Lake, Delta Live Tables, or Auto Loader  
• Knowledge of data quality frameworks and validation approaches  
• Familiarity with healthcare data models and EMPI design  
• Experience with CI/CD, infrastructure as code (Terraform, etc.), and DevOps practices for data platforms  
• Understanding of data privacy and compliance (HIPAA or similar) 

What about languages? 

Excellent written and verbal English for clear and effective communication is a must! 

How much experience must I have? 

We're looking for someone with 7+ years of experience working in data engineering, data architecture, or related roles.  

Our benefits:

📚 Learning Opportunities: 

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. 
• Access to AI learning paths to stay up to date with the latest technologies. 
• Study plans, courses, and additional certifications tailored to your role. 
• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. 
• English lessons to support your professional communication. 

👩‍🏫 Mentoring and Development: 

• Career development plans and mentorship programs to help shape your path. 

🎁 Celebrations & Support: 

• Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. 
• Company-provided equipment.  

⚖️ Flexible working options to help you strike the right balance.    

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters. 

So what are the next steps?  

Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!