Senior Principal Technical Data Architect
Location
Bangalore | India
Job description
About The Job
Red Hat Core Business Platforms is looking for a Senior Principal Techni cal Data Architect to join our team in Bangalore, India.
As a Technical 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 You Will 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 You Will 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.
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