Senior Databricks Architect & Client Advisor

Ultra Tendency; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote-friendly work environment

Certification & learning support

Competitive compensation

Job summary

Ultra Tendency is seeking a Senior Databricks Consulting Engineer to guide enterprise customers through data and AI transformations using the Databricks Lakehouse Platform. You will design, review, and implement scalable data architectures, mentor teams, and work with executives to ensure measurable value from Databricks investments.

This highly customer-facing role requires hands-on technical capability, strong communication in English and Spanish, and the ability to lead architecture

Qualifications

• 7+ years in data engineering, cloud architecture, or analytics.
• 3+ years with Databricks in enterprise environments.
• Strong modern data platform architecture and cloud-native solutions.
• Hands-on design of Lakehouse architectures.
• Proficiency in: Databricks Data Intelligence Platform, Delta Lake, Unity Catalog, data governance.
• Experience with Azure, AWS, or Google Cloud Platform.
• Excellent English and Spanish communication, plus executive stakeholder engagement.

Responsibilities

• Act as the primary technical advisor for strategic Databricks customers and design scalable data, analytics, and AI architectures.
• Lead architecture workshops and translate business requirements into technical solutions and implementation plans.
• Drive platform modernization, cloud migrations, governance, and AI initiatives across customer environments.
• Mentor client teams and Ultra Tendency consultants on architecture patterns and best practices.
• Support pre-sales activities, solution positioning, PoCs, and identify opportunities for platform expansion.

Skills

Databricks

Python

SQL

Spark

Unity Catalog

Data governance

Cloud architecture

Executive mgmt

Tools

Databricks

Job description

Ultra Tendency is seeking a Senior Databricks Consulting Engineer to guide enterprise customers through data and AI transformations using the Databricks Lakehouse Platform. You will design, review, and implement scalable data architectures, mentor teams, and work with executives to ensure measurable value from Databricks investments.

This highly customer-facing role requires hands-on technical capability, strong communication in English and Spanish, and the ability to lead architecture