Lead Data Architect
2 weeks ago
Welcome to Unreal Gigs, where we're pushing the boundaries of data-driven innovation. As a key member of our team, you'll play a vital role in shaping the future of data engineering.
Job Summary
We're seeking an experienced Lead Data Engineer to lead our data engineering efforts and drive the design, development, and maintenance of our data infrastructure and pipelines. If you have a strong background in data engineering, excellent leadership skills, and a passion for innovation, we want to hear from you.
Key Responsibilities
- Technical Leadership: Provide guidance, mentorship, and technical leadership in data engineering best practices and technologies.
- Data Infrastructure Design: Lead the design and architecture of our data infrastructure, ensuring scalability, reliability, and performance.
- Data Pipeline Development: Develop scalable and efficient data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
- Data Modeling: Design and implement data models and schemas to support analytical and operational requirements.
- Data Governance: Establish and enforce data governance policies and best practices to ensure data quality, security, and compliance.
- Performance Optimization: Optimize data pipelines and queries for performance and efficiency, identifying and addressing bottlenecks and inefficiencies.
- Monitoring and Alerting: Implement monitoring and alerting systems to track data pipeline performance and health.
- Documentation and Best Practices: Define and promote best practices for data engineering, documentation, and usage.
- Collaboration: Collaborate with cross-functional teams 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.
Requirements
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
- 7+ years of experience in data engineering, with a focus on designing, building, and maintaining data infrastructure and pipelines.
- Leadership experience, with a demonstrated ability to lead and mentor a team of engineers.
- Proficiency in programming languages such as Python, Java, or Scala, and experience with data engineering frameworks and tools.
- Strong understanding of data modeling concepts and techniques, with experience designing and implementing data models and schemas.
- Experience with cloud platforms and cloud-based data services.
- Experience with SQL and NoSQL databases, data warehousing, and ETL/ELT processes.
- 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.
Benefits
- Competitive salary and benefits package.
- 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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