Remote Lead Data Engineer

Description:

• Construct and maintain scalable, robust data pipelines to support analytics and machine learning applications, focusing on efficiency and data quality.
• Oversee the ingestion, storage, and processing of extensive datasets to ensure consistency and accessibility for advanced data strategies.
• Utilize technologies like Snowflake, Airbyte, and Airflow to enhance data operations and cost-effectiveness.
• Collaborate with analytics engineering and product teams to understand data requirements and develop technical solutions for improved data usability.
• Provide technical guidance and mentorship to the data team, promoting best practices in data management and governance.
• Stay updated on the latest data technology trends and continuously improve data systems and practices.

Requirements:

• Proficiency in ETL processes, data modeling, metadata management, and IaC principles, with experience in Terraform for infrastructure management.
• Familiarity with CI/CD processes, cloud platforms (especially AWS), Python, SQL, and distributed job/query optimization.
• Experience in mentoring junior data talent, steering projects to align with business goals, and knowledge of modern data architectures.
• Ability to write and review technical documentation effectively and communicate complex technical concepts to diverse stakeholders.
• Strong team player with proactive, self-directed work culture, operating well in a global, remote-first environment.
• Bias for action, customer-centric mindset, and execution-driven approach.

Benefits:

• Opportunity to shape data architectures supporting internal operations and external data product development.
• Collaboration with a diverse team of analytics engineers, data engineers, developers, and operational teams.
• Exposure to cutting-edge technologies and continuous learning in the data engineering field.
• Remote work flexibility in a global, remote-first environment.
• Equal opportunity company promoting diversity, equity, and inclusion.