Principal / Enterprise Data Architect

About the job
A Better Together philosophy towards building a better world Aligned Automation is a strategic service provider that partners with Fortune 500 leaders to digitize enterprise operations and enable business strategies. We believe we can create positive, lasting change in the way our clients work while advancing the global impact of their business solutions for a more optimistic and better world. We are passionate about building and sustaining an inclusive and equitable workplace where all people can develop and thrive. Enriched by our 4Cs Care, Courage, Curiosity, and Collaboration our culture supports solutions that empower the possible.
Years of Experience: 15 to 18 years
Position: Principal / Enterprise Data Architect

Role Overview

We are looking for a senior Data Architect to define and lead enterprise data strategy across data engineering, data quality, governance, security, and AI enablement. This role will shape scalable, secure, and AI-ready data platforms that power analytics and business decision-making.

Key Responsibilities

• Define enterprise data architecture and roadmap aligned to analytics and AI goals
  
• Design scalable lakehouse / data platform architectures (batch & streaming)
  
• Establish
  
  data quality, observability, and reliability frameworks
  
• Lead data governance, metadata, lineage, and ownership models
  
• Architect data security and privacy (access control, encryption, compliance)
  
• Enable AI/ML & GenAI use cases with high-quality, governed data foundations
  
• Act as architectural advisor to senior stakeholders and mentor teams
  

Required Experience & Skills

• 1518 years in data architecture, data engineering, and analytics platforms
  
• Strong experience with

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  cloud data platforms (AWS / Azure / GCP)
  
• Deep understanding of data engineering, governance, quality, and security
  
• Experience enabling AI/ML-ready data architectures
  
• Strong stakeholder communication and leadership skills
  

Nice to Have

• Enterprise or digital transformation experience
  
• Data Mesh / Lakehouse exposure
  
• AI / GenAI data patterns experience
  
• Cloud or data architecture certifications