The 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. Must
work EST hours. 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<\/span><\/span>
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Requirements<\/h3>
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.<\/span><\/p>
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