Red hat Principal Data Architect 

India, Karnataka, Bengaluru 

708561774

About the Job

As a Principal Data Architect, you will play a critical role in building and managing data solutions to support our organization's data-driven initiatives. You will lead a team of data engineers and work closely with data analysts, data scientists, and other stakeholders to ensure data is collected, processed, and made available for analysis.

What will you do?

• Review and merge code contributions from others in a given data domain

• Design, develop, and maintain data pipelines for data extraction, loading, and transformation (ELT) processes.

• Utilize SQL and Python to create ELT processes and collaborate with cross-functional teams to understand data requirements and ensure data pipelines meet business needs.

• Data Modeling and Transformation:

• Create and maintain data models using dbt that enable efficient data transformation and reporting.

• Collaborate with engineers to ensure data models align with the overall data architecture.

• Database Management (Snowflake):

• Manage and optimize Snowflake database systems for efficiency, scalability, and performance.

• Work on database schema design, performance tuning, and security within the Snowflake environment.

Team Leadership:

• Lead and mentor a team of data engineers, providing technical guidance, coaching, and support.

• Collaborate with other departments and stakeholders to align data engineering efforts with overall business goals.

• Promote opensource principles

ELT Development:

• Develop and maintain ELT processes to extract, load, and transform data from various sources into data repositories.

• Ensure data quality and accuracy in the ELT processes.

Data Governance and Compliance:

• Implement data governance policies and practices to maintain data quality, security, and compliance with relevant regulations (e.g., GDPR, HIPAA).

Documentation and Best Practices:

• Document data engineering processes, standards, and best practices for knowledge sharing and training.

• Promote and enforce coding and data engineering best practices within the team.

Performance Monitoring and Optimization:

• Monitor the performance of data pipelines, databases (Snowflake), and data models, making improvements and optimizations as needed.

• Troubleshoot and resolve data-related issues in a timely manner.

What will you bring?

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

• Extensive experience in data engineering, including ELT development, data pipeline management, and data modeling using dbt.

• Strong proficiency in Snowflake, including database management, performance tuning, and data security.

• Experience with opensource projects and principles

• Solid knowledge of data modeling and architecture principles.

• Proficiency in Python for data processing and automation.

• Leadership and team management skills.

• Excellent problem-solving, communication, and collaboration abilities.

• Familiarity with data governance, data security, and compliance standards.