Senior Principal Data Architect

TL;DR

Senior Principal Data Architect: Designing and implementing scalable data architectures and models for data engineering and data science projects with an accent on cloud platforms (AWS), data security, and AI/Gen AI integration. Focus on optimizing data storage and retrieval, enforcing data governance, and driving innovation with emerging technologies.

Location: Onsite in Santa Clara, CA, USA. Applicants must be eligible to access U.S. export-controlled information (U.S. citizens, lawful permanent residents, or protected individuals).

Salary: $156,550 - $234,500 per annum

Company

hirify.global is a semiconductor solutions company providing essential building blocks for data infrastructure across enterprise, cloud, and AI architectures.

What you will do

• Design and implement scalable, efficient, and secure data architectures that support data engineering and data science projects.
• Develop and maintain conceptual, logical, and physical data models for structured and unstructured data.
• Design and manage data solutions on AWS, utilizing services such as S3 and EMR.
• Develop and maintain data pipelines using Python and Apache Airflow for ETL/ELT processes.
• Collaborate with data engineers, data scientists, and business intelligence teams to design and implement data solutions.
• Collaborate with data science and AI teams to design data architectures that support AI and Gen AI initiatives.

Requirements

• Bachelor’s degree in Information Systems, Computer Science, or a related field.
• 8+ years of experience architecting and developing end‑to‑end data and analytics solutions.
• Extensive experience in data modeling and data warehousing.
• Experience with Snowflake, cloud platforms (AWS highly preferred), Python, and PL/SQL.
• Strong communication skills and ability to translate business needs into data solutions.
• Eligibility to access U.S. export-controlled information is required.

Nice to have

• Expertise in Snowflake and AWS.
• Proficiency in Python.
• Hands‑on experience with Airflow for workflow orchestration.
• Experience in data governance, data quality, and metadata management.
• Understanding of data security best practices.

Culture & Benefits

• Comprehensive benefits supporting financial well-being, family support, and mental/physical health.
• Employee stock purchase plan with a 2-year look back.
• Family support programs and robust mental health resources.
• Recognition and service awards celebrating contributions and milestones.
• Commitment to providing exceptional and comprehensive benefits.

Hiring process

• Candidates are not permitted to use AI tools (e.g., transcription apps, real-time answer generators like ChatGPT or Copilot) during interviews.
• Interviews are designed to evaluate individual experience, thought process, and communication skills in real time.
• Use of AI tools without prior instruction from the interviewer will result in disqualification.