Data Architect

Job Title:
Data Architect

Location:
San Jose, CA Onsite 5 days

Duration: 12 Months

Note:
Please make sure the candidate has a Degree in Computer Science

Please emphasize on Solution & Data Architecture and the need to work closely with the engineering teams to design and help implement solutions to adhere to the design

Job Description:

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

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
• Minimum of 5 years of hands‑on data engineering experience using distributed computing approaches (Spark, Map Reduce, Data Bricks)
• 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., Data Bricks, 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.