Senior Data Architect — Azure Databricks & Data Platform

VBeyond Corporation; Seattle (WA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

VBeyond Corporation is seeking a senior Data Engineering Leader in Seattle for hybrid work. You will drive end-to-end data platform delivery, architect scalable data pipelines, and guide cross-functional teams including product management and customers.

You will apply deep expertise in Databricks, Azure, Unity Catalog, and Delta Lake to optimize data governance, ingestion, and quality. Strong leadership and project management are essential.

Qualifications

• 15+ years of relevant experience.
• 5+ years leading highly complex engineering teams.
• Strong hands-on Databricks expertise.
• Experience managing distributed teams preferred.
• Expertise in large distributed data systems and data warehousing at scale.
• Knowledge of Unity Catalog architecture and data governance.
• Proficiency in PySpark and Python; APIs, containerization and orchestration a plus.

Responsibilities

• Manage end to end delivery by Investigating problem areas, working cross-functionally with product manager & other stakeholders.
• Follow the Agile development methodology; think strategically and execute methodically.
• Develop and manage capacity and growth projection forecasts of the environment within budgets.
• Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements.
• Drive optimization, testing and tooling to improve quality of solutions.
• Manage teams that build and operate high volume distributed systems in a SaaS environment.
• Great at devising efficient processes that increase velocity and quality.

Skills

Databricks

Azure

Data Factory

Data Lake

Unity Catalog

Delta Live Tables

PySpark

Python

APIs

Containerization

Orchestration

Cloud architecture

Leadership

Project management

Job description

VBeyond Corporation is seeking a senior Data Engineering Leader in Seattle for hybrid work. You will drive end-to-end data platform delivery, architect scalable data pipelines, and guide cross-functional teams including product management and customers.

You will apply deep expertise in Databricks, Azure, Unity Catalog, and Delta Lake to optimize data governance, ingestion, and quality. Strong leadership and project management are essential.