Senior Data Engineer at Blend360

Guadalajara, jalisco, Mexico -

Full Time

Start Date

Immediate

Expiry Date

20 Jul, 26

Salary

0.0

Posted On

21 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, Data architecture, SQL, Python, PySpark, Medallion architecture, ETL/ELT pipelines, Azure, Unity Catalog, Data modeling, Technical documentation, Cloud platforms, Data governance, Delta Lake, Data engineering

Industry

Professional Services

Description

Company Description 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. Job Description 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 ● Bachelor’s 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? We're 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 we’ll explore working together!

Responsibilities

The Data Architect will lead the initial phase of a data platform transformation by evaluating the current Databricks environment and defining the target architecture. They will also own the creation of technical documentation and act as a liaison between engineering, analytics, and platform teams.