Lead Data Warehouse Engineer
2 weeks ago
Position Overview: As the Lead Data Warehouse Engineer, you'll be responsible for leading our data warehouse engineering efforts and driving the design, development, and maintenance of our data warehousing solutions. You'll lead a team of talented engineers and collaborate closely with cross-functional teams to deliver end-to-end data solutions that support the needs of our data-driven organization. If you're a seasoned engineer with expertise in data warehousing technologies and a track record of leading successful data projects, we want you on our team.
Requirements
Key Responsibilities:
- Technical Leadership: Lead a team of data warehouse engineers, providing guidance, mentorship, and technical leadership in data warehouse engineering best practices and technologies.
- Data Warehouse Design: Lead the design and architecture of our data warehousing solutions, ensuring scalability, reliability, and performance to meet the needs of our growing organization.
- Data Modeling: Lead the design and implementation of data models and schemas to support analytical and operational requirements, ensuring data integrity, consistency, and performance in a data warehouse environment.
- ETL/ELT Processes: Lead the development of ETL/ELT processes to extract, transform, and load data from various sources into the data warehouse, ensuring data quality and integrity throughout the process.
- Performance Optimization: Lead efforts to optimize data warehouse performance, identifying and addressing bottlenecks and inefficiencies to improve system scalability and reliability.
- Data Governance: Implement data governance policies and best practices to ensure data quality, security, and compliance with regulatory requirements.
- Monitoring and Alerting: Implement monitoring and alerting systems to track data warehouse performance and health, detecting and mitigating issues proactively to minimize downtime and data loss.
- Documentation and Best Practices: Define and promote best practices for data warehouse engineering, documentation, and usage, ensuring clear and comprehensive documentation to facilitate understanding and collaboration among team members.
- Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand requirements and deliver data solutions that meet business needs.
- Mentorship and Development: Mentor junior engineers, providing guidance, support, and opportunities for growth and development in their data warehouse engineering careers.
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
- 7+ years of experience in data warehouse engineering, with a focus on designing, building, and maintaining data warehousing solutions.
- Leadership experience, with a demonstrated ability to lead and mentor a team of engineers.
- Proficiency in SQL and experience with data warehousing technologies such as Snowflake, Amazon Redshift, Google BigQuery, or similar.
- Strong understanding of data modeling concepts and techniques, with experience designing and implementing data models and schemas for data warehouses.
- Experience with ETL/ELT processes, data integration, and data governance in a data warehouse environment.
- Strong problem-solving skills and analytical thinking, with the ability to troubleshoot complex data issues and optimize system performance.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
- Competitive salary: The industry standard salary for Lead Data Warehouse Engineers typically ranges from $200,000 to $300,000 per year, depending on experience and qualifications.
- Comprehensive health, dental, and vision insurance plans.
- Flexible work hours and remote work options.
- Generous vacation and paid time off.
- Professional development opportunities, including access to training programs, conferences, and workshops.
- State-of-the-art technology environment with access to cutting-edge tools and resources.
- Vibrant and inclusive company culture with opportunities for growth and advancement.
- Exciting projects with real-world impact at the forefront of data-driven innovation.
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