Data Architect

Job Description

Pay Range : $65 / hr - $70 / hr

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.

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