Job Description Summary

Sr Principal Data Architect is responsible for defining the data and information architecture vision, strategy, and roadmap across DISE and Corporate Functions (Legal, HR, Finance, Compliance, Security, middleware/hosting). This leader will drive enterprise data lake strategy, govern data across multiple domains, and enable secure, trusted analytics. The role partners with platform owners, cybersecurity, enterprise architecture, and product teams; it does not directly own infrastructure platforms.
The role accelerates digital utilization by standardizing data models, establishing reusable patterns, ensuring high data quality, and enabling self-service analytics. Success improves Safety, Quality, Delivery, and Cost through better decisions, automation, and compliance-grade data.

Job Description

Key Responsibilities 

Strategy and Architecture 

• Define and maintain the enterprise data and information architecture across Corporate Functions, spanning relational, non-relational, streaming, and file-based stores. 
• Lead data lake strategy (including zone design and reusable data product patterns) with clear decision guardrails for cost, performance, and security. 
• Establish reference architectures for data ingestion, transformation, serving, and interoperability across HR, Legal, Finance, Compliance, and Security. 
• Set and govern standards for canonical/conformed data models, semantic layers, and reusable transformation patterns. 

Data Management and Governance 

• Implement data governance with domain-aligned stewardship, cataloging, lineage, and metadata management. 
• Drive data quality strategy: profiling, rules, monitoring, remediation playbooks, and service-level objectives. 
• Define and enforce data security, privacy, and retention controls in partnership with Cybersecurity, Legal, and Compliance (e.g., role- and attribute-based access). 
• Guide master and reference data strategies and processes, including patterns for MDM and reference data management. 

Delivery and Enablement 

• Partner with engineering, architecture, analytics, and product teams to design and deliver end-to-end data products and use cases. 
• Standardize orchestration and CI/CD practices for data pipelines to ensure reliability, observability, and cost transparency. 
• Provide architectural oversight from design through stabilization, including technical reviews and readiness gates. 
• Maintain technical data dictionaries and align with business glossaries and shared semantics. 

Risk, Compliance, and Lifecycle 

• Ensure adherence to regulatory, contractual, and export control requirements across sensitive corporate data domains. 
• Define data lifecycle management (tiering, archiving, purging) balancing compliance, performance, and cost. 
• Lead incident response for data issues; drive root cause analysis and implementation of preventive controls. 

Leadership and Stakeholder Management 

• Influence senior stakeholders (including executives and c-suite leaders) on strategic data and technology investments and their implementation considerations. 
• Represent the company externally by participating in relevant industry forums and leading discussions on data and software architecture. 
• Introduce company-wide patterns and tools that improve collaboration, productivity, and community-building across data and engineering teams. 
• Partner with executives and senior business leaders to guide technology decisions on data and software products. 
• Coach and mentor team members on technical skills and leadership behaviors; foster a culture of reuse, standard work, and continuous improvement. 
• Communicate architecture decisions, tradeoffs, and ROI clearly to executive and non-technical audiences. 

Required Qualifications / Experience 

• Bachelor’s degree from accredited university or college with minimum of 10 years of professional experience OR associate's degree with minimum of 13 years of professional experience OR High School Diploma with minimum of 15 years of professional experience
• Minimum 8 years of professional experience in computer science, Information Systems, Engineering, Mathematics, or related field 
• 7 years designing and operating data lakes and data pipelines across multiple domains 
• Legal authorization to work in the U.S.; sponsorship not available 
• Note: Military experience is equivalent to professional experience

Eligibility Requirement:

• Legal authorization to work in the U.S. is required.  We will not sponsor