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Principal Architect II (Remote - US)

Principal Architect II (Remote - US)

JobgetherUS
6 days ago
Job type
  • Full-time
  • Remote
  • Quick Apply
Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Architect II in the United States .

This senior leadership role is responsible for shaping the enterprise data, analytics, and AI architecture across the organization. You will define strategic roadmaps, design scalable and secure data platforms, and oversee AI / ML integration to enable advanced analytics and informed decision-making. The role requires collaborating with engineering, product, and business teams to translate business needs into robust technical solutions. You will guide complex initiatives, evaluate emerging technologies, ensure compliance with governance standards, and mentor a team of architects. This position blends technical mastery with strategic vision, driving innovation while delivering measurable business impact.

Accountabilities :

  • Develop and maintain the enterprise data and AI architecture roadmap aligned with organizational goals.
  • Lead the design and implementation of scalable data platforms, analytics solutions, and AI / ML infrastructure.
  • Define standards and best practices for data governance, metadata management, and model lifecycle management.
  • Partner with cross-functional teams to integrate data and AI capabilities seamlessly.
  • Evaluate emerging technologies and trends to inform strategic decisions and drive innovation.
  • Oversee architectural reviews, solution designs, and proof-of-concept initiatives for complex data projects.
  • Ensure compliance with data privacy, security, and regulatory requirements.
  • Build, mentor, and lead a high-performing team of data and AI architects.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
  • 10+ years of experience in data architecture, analytics, and AI / ML systems, including leadership of architecture teams.
  • Proven expertise in cloud platforms (Azure, AWS, GCP), data lakes, data warehouses, and real-time data processing.
  • Strong knowledge of AI / ML frameworks (TensorFlow, PyTorch), MLOps, and model deployment strategies.
  • Experience with enterprise architecture frameworks (TOGAF, Zachman) and modern data stack concepts (data mesh, data fabric).
  • Familiarity with Databricks ecosystem and relevant certifications in cloud architecture or AI / ML technologies.
  • Exceptional communication, stakeholder management, and cross-functional collaboration skills.
  • Understanding of data governance frameworks and regulatory compliance (GDPR, HIPAA, etc.).
  • Strong analytical, organizational, and problem-solving abilities with a collaborative mindset.
  • Benefits

  • Competitive salary with performance incentives and opportunities for professional growth.
  • Comprehensive health, dental, and vision insurance.
  • Paid parental leave and caregiver support.
  • Support for work-life balance including flexible schedules and wellness programs.
  • Professional development opportunities, mentorship programs, and employee resource groups.
  • Inclusive culture fostering collaboration, innovation, and continuous learning.
  • Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

    When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

    🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

    📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

    🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

    🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

    The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

    Thank you for your interest!

    #LI-CL1

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