Senior Architect

Job Overview:

• Design, develop, and maintain scalable data pipelines and systems using DBT and Big Data technologies.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
• Implement data models and transformations using DBT.
• Develop and maintain ETL processes to ingest and process large volumes of data from various sources.
• Optimize and troubleshoot data workflows to ensure high performance and reliability.
• Ensure data quality and integrity through rigorous testing and validation.
• Monitor and manage data infrastructure, ensuring security and compliance with best practices.
• Provide technical support and guidance to team members on data engineering best practices.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in DBT for data modeling and transformations.
• Hands-on experience with Big Data technologies (e.g., Hadoop, Spark, Kafka).
• Proficient in Python for data processing and automation.
• Experience with SQL and database management.
• Familiarity with data warehousing concepts and best practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Knowledge of data governance and security practices.
• Certification in relevant technologies (e.g., DBT, Big Data platforms).