Principal Enterprise Data Architect

Who We Are

Johnson Health Tech is one of the worlds 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 Techs global enterprise data environment. This role leads the technical design of the companys 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 Techs 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 companys architecture and technical standards.

Marginal Job Functions

• Other projects as needed.

Education

• Bachelors degree in computer science information systems engineering data management or related field or equivalent professional experience. Masters 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