Technical Team Lead - Data Engineering (5-10 yrs)

About Us :

Scale.AI is a cutting-edge platform that connects subject matter experts to contribute to the development of the world's most advanced Generative AI systems.

We specialize in providing high-quality data to leading AI companies aiming to enhance their models' capabilities.

At Outlier, we foster innovation and strive to be at the forefront of AI advancements.

Job Overview :

We are seeking a highly skilled and motivated Technical Queue Manager/Leads to join our dynamic team.

The ideal candidate will have a proven track record in managing and optimizing team performance, leading data contributor teams, and building robust data pipelines.

You will be responsible for ensuring the delivery of high-quality data, solving complex product and business challenges, and overseeing end-to-end data pipeline management from ideation to maintenance.

If you are passionate about data engineering and thrive in a collaborative, fast-paced environment, we would love to hear from you.

A minimum of 2 to 3 years of experience in leadership roles.

Key Responsibilities :

- Lead and Mentor : Manage a team of data contributors, providing mentorship, guidance, and technical expertise to optimize performance.

- Data Pipeline Management : Maintain, and enhance data pipeline processes to ensure efficient and high-quality data flow.

- Cross-Functional Collaboration : Work closely with cross-functional teams to understand data requirements and implement solutions that meet those needs.

- Quality Assurance and Code Review : Monitor the quality of data generated by contributors, resolve issues, and ensure adherence to data standards.

- Troubleshooting : Oversee and troubleshoot data pipelines to maintain data quality, reliability, and performance.

Required Qualifications :

- Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.

- Proven experience in managing and leading data teams.

- Strong programming skills in multiple languages commonly used in data engineering (e. , Python, SQL, C++, Java, JS).

- Excellent problem-solving abilities and the capacity to work effectively in a fast-paced, collaborative environment.

- Exceptional communication and interpersonal skills.

Preferred Qualifications :

- Familiarity with data quality best practices and methodologies.

- Experience in AI or machine learning environments.

- Ability to drive continuous improvement and innovation within data operations.

What We Offer :

- Competitive pay rates and performance-based incentives.

- Opportunities for career growth and professional development.

- A collaborative, inclusive, and dynamic work environment.

- Flexible working hours and remote work options