Senior Enterprise Data Architect - Databricks Lakehouse

Johnson Health Tech Companies; Vancouver (WA); On-site; USD 160,000 - 230,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Company-paid life insurance and AD&D

401(k) retirement savings plan

Paid time off (PTO)

FSA and HSA options

Employee product discounts

Job summary

Johnson Health Tech seeks a Principal Enterprise Data Architect to lead the architecture and evolution of its global data environment. You will design the Databricks lakehouse, drive integration from SAP, Dynamics CRM, and e-commerce while guiding data modeling, governance, and platform standards.

You will mentor regional teams, establish patterns for scalable data pipelines, and ensure security, reliability, and cost efficiency across the enterprise data platform.

Qualifications

• Bachelor’s degree in computer science, information systems, engineering, data management, or related field, or equivalent professional experience. Master’s degree is preferred.
• 15+ years of progressive experience in data architecture, data engineering, enterprise integration, software engineering, or related technical disciplines.
• Demonstrated experience as a senior architect, principal engineer, technical lead, or equivalent enterprise technical authority.
• Expert-level SQL skills and advanced proficiency in Python for data engineering, automation, integration, platform development, and ETL/ELT pipelines for large and complex enterprise data sets.
• Deep experience with Databricks, Apache Spark, Delta Lake, lakehouse architecture, data modeling, data warehousing, dimensional design, data lakes, and analytical data structures.
• Experience integrating ERP, CRM, e-commerce, manufacturing, financial, logistics, or other enterprise applications, including SAP, Microsoft Dynamics CRM, APIs, and cloud data-integration patterns.

Responsibilities

• Define and maintain the technical architecture for Johnson Health Tech’s global enterprise data environment, including the Databricks lakehouse platform and supporting cloud, integration, and data-processing components.
• Establish scalable architectural patterns and ensure architecture decisions support performance, scalability, reliability, security, maintainability, cost effectiveness, and appropriate emerging technology improvements.
• Lead the technical design and implementation of ETL and ELT pipelines connecting SAP, Microsoft Dynamics CRM, e-commerce systems, operational applications, external platforms, and other enterprise data sources.
• Establish reusable integration frameworks, ingestion patterns, and data-processing standards using SQL, Python, Databricks, Spark, APIs, and other integration technologies.
• Define enterprise data-modeling standards across raw, curated, analytical, and consumption-ready data layers.
• Design data structures that support reporting, analytics, data science, AI, operational applications, and business planning.
• Serve as the senior technical authority for enterprise data architecture and data engineering.
• Establish and document architecture principles, development standards, naming conventions, integration patterns, and technical guardrails.
• Develop technical frameworks, documentation, reference architectures, and training materials for global adoption of the data platform.
• Train and mentor regional technology teams to implement, operate, and extend the enterprise data environment within established standards.
• Incorporate data quality, lineage, observability, reconciliation, error handling, monitoring, and platform-performance requirements into designs.
• Ensure access controls, protection of sensitive data, and compliance with privacy, security, retention, testing, release-management, disaster recovery, and continuity requirements.
• Collaborate with SAP, Dynamics CRM, e-commerce, manufacturing, finance, product, and other teams to translate requirements into designs.
• Communicate complex decisions clearly, identify risks, influence decisions, and coordinate with external vendors.

Skills

Advanced SQL

Python for data engineering

Communication

Leadership

Education

Bachelor’s degree in CS/IS/Engineering or related field; Master’s preferred

Tools

Databricks

Apache Spark

Delta Lake

Lakehouse architecture

Data modeling

Data warehousing

SAP

Microsoft Dynamics CRM

APIs

Job description

Johnson Health Tech seeks a Principal Enterprise Data Architect to lead the architecture and evolution of its global data environment. You will design the Databricks lakehouse, drive integration from SAP, Dynamics CRM, and e-commerce while guiding data modeling, governance, and platform standards.

You will mentor regional teams, establish patterns for scalable data pipelines, and ensure security, reliability, and cost efficiency across the enterprise data platform.