Job Details

Job Description :

Pay Range :

$65hr - $70hr

Responsibilities

Cloud Data Architecture Design and 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 and 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 and 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.
• 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.