Principal Architect II (Remote - US)

Jobgether; United States; Presencial; USD 130.000 - 160.000; Tempo integral

Benefícios oferecidos por esta vaga

Competitive salary with performance incentives

Comprehensive health, dental, and vision insurance

Paid parental leave and caregiver support

Flexible schedules and wellness programs

Professional development opportunities

Inclusive culture fostering collaboration

Resumo da vaga

A technology firm in the United States seeks a Principal Architect II to define and implement the enterprise data and AI architecture roadmap. The role requires over 10 years of experience in data architecture and proven expertise in leading architectural teams. The ideal candidate will have strong knowledge of cloud platforms, AI/ML frameworks, and data governance, with exceptional communication skills. This position offers competitive compensation and a collaborative work environment.

Qualificações

• 10+ years of experience in data architecture, analytics, and AI/ML systems.
• Proven expertise in leadership of architecture teams.
• Familiarity with enterprise architecture frameworks (TOGAF, Zachman).

Responsabilidades

• Develop and maintain the enterprise data and AI architecture roadmap.
• Lead the design and implementation of scalable data platforms and AI/ML infrastructure.
• Mentor a high-performing team of data and AI architects.

Conhecimentos

Cloud platforms (Azure, AWS, GCP)

AI/ML frameworks (TensorFlow, PyTorch)

Data governance frameworks

Strong analytical skills

Stakeholder management

Cross-functional collaboration

Formação

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field

Ferramentas

Databricks ecosystem

Descrição da vaga

Principal Architect II – 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