Role - Cloud Data Architect
Location: McLean, VA
Contract- Hybrid

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.