Senior Data Architect
3 weeks ago
Job Summary:
We are seeking a highly skilled and experienced Senior Data Architect to lead the development and maintenance of scalable data solutions. As a key member of our team, you will be responsible for driving the development of data architectures, ensuring high performance, scalability, and reliability.
Key Responsibilities:
- Design and develop database architectures, ensuring high performance, scalability, and reliability.
- Lead the implementation of data solutions and manage integrations with other databases.
- Apply advanced database concepts to improve system performance and efficiency.
- Develop data pipelines and automation solutions to ensure accurate, reliable, and scalable data workflows.
- Collaborate closely with product and engineering teams to align data architecture with business needs and product requirements.
- Mentor and guide junior data engineers, providing code reviews and technical direction on best practices for database management and data engineering.
- Troubleshoot and resolve complex database and data pipeline issues, identifying bottlenecks and implementing performance tuning.
- Ensure data security, integrity, and compliance with internal and external standards and regulations.
Required Qualifications:
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- Minimum of 5 years of experience in data engineering or database development.
- Proficient in database technologies, with a focus on Snowflake and other columnar databases (e.g., Redshift, BigQuery).
- Strong understanding of database performance optimization, indexing, clustering, and partitioning techniques.
- Experience with ETL/ELT processes, data pipeline development, and automation tools.
- Advanced SQL skills and familiarity with Python or another programming language for data processing.
- Strong understanding of database security, data governance, and compliance best practices.
- Proven leadership and mentoring experience within data engineering teams.
- Experience with cloud-based data platforms (AWS, Azure, GCP) is a plus.
- Excellent problem-solving skills, with the ability to work in a fast-paced, collaborative environment.
Preferred Qualifications:
- Master's degree in Computer Science or a related field.
- Experience with data modeling and schema design for complex datasets.
- Familiarity with modern data warehousing concepts and real-time data processing frameworks.
- Knowledge of DevOps practices related to data engineering and database management.
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