Title: Cloud Data Architect

Location: McLean, VA (Hybrid)

Project Duration: 12 months

Job Description:

The Cloud 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.

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.

- 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.

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.