Description

You will design and implement data architectures for business intelligence, analytics, and data science initiatives.

This role is hybrid.

Responsibilities

• Design detailed technical specifications for data storage, processing, and retrieval systems.
• Develop data models, schemas, and integration patterns to enable seamless data flow.
• Evaluate and recommend technologies for data warehousing, ETL/ELT, and analytics platforms.
• Implement data governance frameworks and ensure compliance with organizational policies.
• Lead proof-of-concept initiatives and mentor junior team members on technical guidance.

Required Skills

• 7+ years of experience in data architecture, data engineering, or related roles.
• Expert knowledge of data modeling techniques including dimensional, relational, and NoSQL.
• Strong experience with cloud data platforms, specifically AWS.
• Proficiency in data integration patterns and ETL/ELT methodologies.
• Working knowledge of big data technologies such as Hadoop, Spark, and Kafka.
• Familiarity with data mesh architecture and business intelligence tools.
• Bachelor's degree in Computer Science, Information Systems, or a related field.

Preferred Skills

• Experience with real-time data processing architectures and MLOps.
• Knowledge of DataOps and CI/CD for data pipelines.
• Certifications in relevant cloud platforms or data technologies.

Key Skills

Education

Bachelor's degree