Data Architect
Description
Job
Title: Data Architect
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 4
years degree in computer science
• 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 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
Requirements
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.