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Principal / Enterprise Data Architect

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Job Description - 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 “4C’s” – 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

  • 15–18 years in data architecture, data engineering,
    and analytics platforms

  • Strong experience with 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


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