About the Role
Oversee the data engineering team, ensuring the development and maintenance of robust data infrastructure and tools to support AI initiatives.
Responsibilities
- Lead and mentor a team of data engineers.
- Design and implement scalable data solutions.
- Collaborate with cross-functional teams to define and deliver data projects.
- Ensure data quality, security, and compliance.
- Optimize data pipelines and ETL processes.
- Develop and maintain data infrastructure.
- Implement data governance and management practices.
- Stay updated with industry trends and best practices.
- Conduct code reviews and enforce coding standards.
- Manage project timelines and deliverables.
- Troubleshoot and resolve data-related issues.
- Provide technical guidance and support to the team.
- Participate in the recruitment and onboarding of new team members.
- Facilitate knowledge sharing and training sessions.
- Work with stakeholders to understand data requirements.
- Ensure data integrity and accuracy.
- Implement data backup and recovery solutions.
- Monitor data performance and optimize as needed.
- Develop and maintain data documentation.
- Collaborate with data scientists and analysts.
- Ensure compliance with data privacy regulations.
Nice to Have
- Master's degree in Computer Science, Data Science, or a related field.
- Certification in cloud platforms or data engineering.
- Experience with data streaming technologies like Kafka.
- Familiarity with containerization tools like Docker and Kubernetes.
- Experience with data orchestration tools like Airflow.
- Knowledge of data privacy regulations like GDPR or CCPA.
- Experience with data cataloging and metadata management.
- Familiarity with data lineage and impact analysis tools.
- Experience with data quality and profiling tools.
- Knowledge of data encryption and masking techniques.
- Experience with data anonymization and pseudonymization.
- Familiarity with data governance frameworks.
- Experience with data lakehouse architectures.
- Knowledge of data mesh principles.
- Experience with data fabric and data virtualization.
- Familiarity with data observability and monitoring tools.
- Experience with data cataloging and metadata management.
- Knowledge of data privacy impact assessments.
- Experience with data governance and compliance tools.
- Familiarity with data lineage and impact analysis tools.
Compensation
Competitive salary and benefits package.
Work Arrangement
On-site with flexible hours.
Team
Collaborative and innovative team environment.
What You'll Love About This Role
- Opportunity to lead a dynamic and talented team of data engineers.
- Work on cutting-edge AI projects with real-world impact.
- Collaborate with cross-functional teams to drive innovation.
- Access to state-of-the-art tools and technologies.
- Competitive compensation and benefits package.
- Flexible work hours and a supportive team environment.
- Opportunities for professional growth and development.
- Chance to make a significant impact on the company's success.
- Work in a collaborative and inclusive team culture.
- Opportunity to stay updated with the latest industry trends.
Our Ideal Candidate
- Proven experience in data engineering and team leadership.
- Strong technical skills and problem-solving abilities.
- Excellent communication and interpersonal skills.
- Ability to work in a fast-paced and dynamic environment.
- Passion for data and a drive to innovate.
- Experience with Agile methodologies and project management.
- Strong leadership and mentoring skills.
- Ability to collaborate effectively with cross-functional teams.
- Experience with data integration and migration.
- Familiarity with machine learning and AI concepts.
Visa sponsorship available for eligible candidates.
