Data Architect

San Jose, United States | Posted on 01/9/2026

Total

Experience:

10+ years
Exp in Data Architect: 10+ years
Exp in Data Structures: 10+ years
We need to look for a Data Architect with 4years degree in computer science

The Data Architect will be a key contributor to designing, evolving, and optimizing our company's cloud-based data architecture. This role requires a strong background in data engineering, hands‑on experience building cloud data solutions, and a talent for communicating complex designs through clear diagrams and documentation. Must work EST hours.

• Cloud Data Architecture Design & Strategy:
  Design and implement secure, scalable cloud-based data pipelines, data warehouses, and data lakes.
• Drive the selection and integration of cloud data services (e.g., storage, databases, analytics tools).
• Develop comprehensive cloud data strategies in alignment with business goals.
• Diagramming & Documentation:
  Produce clear and informative visual diagrams (e.g., data flow diagrams, entity‑relationship diagrams, system architecture diagrams) to guide implementation and knowledge sharing.
• Maintain detailed documentation of data architecture, design decisions, and processes.
• Hands‑on Implementation & Optimization:
  Actively contribute to the hands‑on implementation of cloud data solutions.
• Proactively identify and implement performance optimization strategies for cloud data systems.
• Troubleshoot and resolve issues related to data pipelines, data quality, and data accessibility.

• Bachelor's degree in Computer Science, Data Science, Information Systems, or related field.
• Minimum of 5 years of hands‑on data engineering experience using distributed computing approaches (Spark, Map Reduce, Databricks).
• Proven track record of successfully designing and implementing cloud-based data solutions in Azure.
• Deep understanding of data modeling concepts and techniques.
• Strong proficiency with database systems (relational and non‑relational).
• Exceptional diagramming skills with tools like Visio, Lucidchart, or other data visualization software.

• Advanced knowledge of cloud‑specific data services (e.g., Databricks, Azure Data Lake).
• Expertise in big data technologies (e.g., Hadoop, Spark).
• Strong understanding of data security and governance principles.
• Experience in scripting languages (Python, SQL).

• Communication:
  Exemplary written and verbal communication skills to collaborate effectively with all teams and stakeholders.
• Problem‑solving:
  Outstanding analytical and problem‑solving skills for complex data challenges.
• Teamwork & Leadership:
  Ability to work effectively in cross‑functional teams and demonstrate potential for technical leadership.