Data Architect

Govserviceshub; San Jose (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A cloud-based services company is seeking a Data Architect located in San Jose, CA. In this role, you will design and implement secure, scalable cloud-based data architectures and pipelines. The ideal candidate will have at least 5 years of hands-on experience in data engineering, a Bachelor's degree in Computer Science, and a strong proficiency in cloud solutions, especially in Azure. This position requires excellent diagramming and communication skills to convey complex concepts effectively.

Qualifications

• Bachelor's degree in Computer Science or related field is required.
• Minimum of 5 years of hands-on data engineering experience.
• Strong proficiency with database systems.
• Exceptional diagramming skills with visualization software.

Responsibilities

• Design and implement cloud-based data pipelines and architectures.
• Produce clear data flow diagrams for knowledge sharing.
• Contribute to hands-on implementation of cloud solutions.
• Optimize performance for cloud data systems.

Skills

Data Engineering

Cloud Data Solutions

Diagramming Skills

Problem Solving

Communication

Education

Bachelor's degree in Computer Science

Tools

Azure

Visio

Lucidchart

Spark

Databricks

Job description

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

TotalExperience: 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.

Core Responsibilities

• 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.

Required Qualifications

• 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, MapReduce, 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.

Preferred Qualifications

• 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).

Additional Skills

• 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.