Senior Data Engineer

Assess the existing Databricks environment and prior implementations to support architectural decision-making

Analyze existing components and document recommendations around reuse refactoring or redesign

• Support source system analysis by documenting data structures dependencies and ingestion considerations
• Translate architectural direction into clear technical guidance for delivery teams
• Own the creation and maintenance of architecture and delivery documentation including:
• Medallion architecture definitions (Bronze Silver Gold)
• Data flow and ingestion pattern documentation
• Data modeling and analytics-readiness standards
• Naming conventions and documentation templates
• Document architectural decisions assumptions trade-offs and constraints
• Maintain runbooks reference materials and architectural artifacts used by engineering teams
• Ensure documentation stays current as implementations evolve
• Support definition of logical and analytical data models particularly for Silver and Gold layers
• Review and validate data modeling approaches for alignment with architectural standards
• Assist with SQL-based transformation logic design and validation
• Perform lightweight analysis or prototyping (SQL or PySpark) to help validate architectural patterns
• Support governance and security standards leveraging Unity Catalog through documentation and guidance
• Assist in documenting:
  • o Data ownership and domain concepts
  • o Access and environment standards
  • o Metadata lineage and usage expectations
  • Partner with Platform and DevOps teams to document agreed-upon governance and security patterns
  • Act as a liaison between Architecture Data Engineering Analytics and Platform teams
  • Clarify architectural intent and standards for delivery teams
  • Gather feedback from engineering teams to improve clarity and usability of documentation
  • Reduce rework and ambiguity by ensuring expectations are clearly documented upfront

Qualifications :

• Bachelors degree in Computer Science Information Systems or a related field
• Strong working knowledge of Databricks and modern lakehouse architectures
• Advanced SQL skills for data analysis modeling and transformation design
• Working knowledge of Python (PySpark preferred) for analysis and prototyping
• Experience supporting ETL/ELT pipelines in cloud environments (Azure preferred)
• Familiarity with medallion architecture concepts (Bronze/Silver/Gold)
• Experience supporting data governance frameworks (Unity Catalog or similar)
• Proven ability to produce clear structured technical documentation

Nice to Have

• Experience with Delta Lake Delta Live Tables or Auto Loader
• Familiarity with data quality and validation frameworks
• Exposure to healthcare or other regulated data domains
• Basic understanding of CI/CD and platform concepts (documentation-level)
• Awareness of data privacy and compliance requirements (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

Were looking for someone with 5 years of experience with demonstrated strength in data platform analysis documentation and architectural support

Additional Information :

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 well explore working together! 

Remote Work :

No

Employment Type :

Full-time