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 companys 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

1. Troubleshoot and resolve issues related to data pipelines data quality and data accessibility.

Required Qualifications

• Bachelors 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 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.