Principal Enterprise Data Architect

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

Description

Who We Are

Johnson Health Tech is one of the world’s largest and fastest-growing fitness equipment manufacturers, delivering innovative solutions that help people live healthier lives. Through our award-winning portfolio of commercial and residential brands, we serve customers in more than 60 countries worldwide.

Mission Statement

To delight and excite our customers through truly innovative products, unsurpassed quality, and best-in-class customer experience provided by a world-class organization.

Position Overview

The Principal Enterprise Data Architect is the senior technical leader responsible for the architecture, design, implementation, and continued evolution of Johnson Health Tech’s global enterprise data environment. This role leads the technical design of the company’s Databricks-based data platform, including integration, transformation, governance, and delivery of data from SAP, Microsoft Dynamics CRM, e-commerce, operational, third-party, and other enterprise data sources. This senior individual contributor role establishes the patterns and technical standards through which data moves across the organization, translating complex business and technology requirements into scalable, maintainable solutions while partnering with global IT, data engineering, analytics, infrastructure, security, application, and business teams.

Responsibilities

Enterprise Data Architecture

• 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.

Data Engineering and Integration

• 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, and resolve data-platform performance, scalability, and reliability issues.

Data Modeling and Platform Design

• Define enterprise data-modeling standards across raw, curated, analytical, and consumption-ready data layers.
• Design data structures that support reporting, analytics, data science, artificial intelligence, operational applications, and business planning, while promoting modular, reusable, testable, and consistent data-engineering practices.

Technical Leadership and Standards

• 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 while providing guidance for complex data initiatives and critical platform components.

Global Enablement and Knowledge Transfer

• Develop technical frameworks, documentation, reference architectures, and training materials required for global adoption of the data platform.
• Train and mentor regional technology teams to implement, operate, and extend the enterprise data environment within established architectural standards and local requirements.

Data Quality, Governance, Security, and Reliability

• Incorporate data quality, lineage, observability, reconciliation, error handling, monitoring, and platform-performance requirements into platform and pipeline designs.
• Partner with data governance, cybersecurity, infrastructure, and application teams to ensure appropriate access controls, protection of sensitive data, and compliance with applicable privacy, security, retention, deployment, testing, release-management, disaster recovery, and business continuity requirements.

Collaboration and Enterprise Influence

• Collaborate with enterprise application teams responsible for SAP, Dynamics CRM, e-commerce, manufacturing, logistics, finance, product, customer, and other operational systems, translating business requirements into actionable technical designs.
• Communicate complex technical decisions clearly, identify architectural risks and dependencies, influence technical decisions across teams, and partner with external vendors while maintaining ownership of the company’s architecture and technical standards.

Marginal Job Functions

• Other projects as needed.

Requirements

Education

• Bachelor’s degree in computer science, information systems, engineering, data management, or related field, or equivalent professional experience. Master’s degree is preferred.

Experience

• At least 15 years of progressive experience in data architecture, data engineering, enterprise integration, software engineering, or related technical disciplines.
• Extensive experience designing and implementing enterprise-scale data platforms.
• Demonstrated experience serving as a senior architect, principal engineer, technical lead, or equivalent enterprise technical authority.

Other Requirements

• 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, file-transfer methods, database connectivity, message-based integration, and cloud data-integration patterns.
• Experience with source control, automated deployment, testing, monitoring, modern software development practices, documentation, and repeatable technical standards.

Bonus Qualifications

• Experience with Microsoft Azure, Amazon Web Services, hybrid cloud environments, Databricks Unity Catalog, governance, security, lineage, orchestration, and platform administration.
• Experience with Power BI, Tableau, data-product, data-mesh, domain-oriented, or federated data-architecture concepts.
• Experience with change data capture, event streaming, message queues, real-time data processing, DevOps, DataOps practices, and global enterprise environments with multinational deployment requirements.

Physical Requirements/Work Environment

Physical Requirements

While performing the duties of this job, the employee is regularly required to sit, use hands to finger, handle, or touch objects, tools, or controls, and frequently required to talk or hear. The employee is occasionally required to stand, walk, reach above the shoulders, stoop, kneel, or crouch, and must occasionally lift and/or move up to 20 pounds. Specific vision abilities include close vision and the ability to adjust focus.

Work Environment

This position will require working on-site.

Benefits & Perks

• Medical, dental, and vision insurance
• Company-paid life insurance and AD&D coverage
• 401(k) retirement savings plan
• Paid time off (PTO)
• FSA and HSA options
• Employee product discounts, wellness resources, and employee assistance programs

Equal Opportunity Employer, including Protected Veterans and Individuals with Disabilities.