Data Engineer Tech Lead

We are looking for Data Engineer Tech Lead to join our team and help drive our data strategy and architecture. With a growth mindset, a pragmatic, can-do attitude, and an uncompromising approach to engineering excellence, you'll play a crucial role in designing and implementing data pipelines that support our security analytics.

It goes without saying (but we’ll say it anyway) that each person who joins us is a huge part of our success and culture, so we’re looking for an awesome teammate who will not only be a skilled engineer but will be fun to talk nonsense with at the office, go out to happy hour with, and debate technical challenges.

We're looking for a creative, analytical professional with a knack for understanding complex systems and a passion for uncovering the intricacies of how things work. If you thrive on curiosity, innovation, and the challenge of dissecting problems to their core, you could be a great fit for our team.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and architectures for ingesting and processing data.
• Collaborate with data scientists and data analysts to support data-driven decision-making and develop data products.
• Optimize and improve data flow and collection processes to ensure high data quality and performance.
• Implement and monitor data processes to ensure data integrity and availability.
• Work with cross-functional teams to identify and implement new data solutions that meet the organization's evolving needs.
• Stay updated on emerging technologies and industry trends to enhance our data engineering practices.
• Lead the design and development of core data models to support scalability and business objectives.
  
  

• 5+ years of experience in data engineering, data architecture, or a related field.
• Extensive experience with data warehousing solutions and ETL tools.
• Strong understanding of database technologies (SQL and NoSQL).
• Strong knowledge of data modeling principles
• ⁠Extensive Experience with Data Transformation Tools (e.g., DBT, AWS Glue).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
• Experience with Workflow Orchestration Tools (e.g., Airflow).
• Experience with big data technologies (e.g., Apache Spark).
  
  

• Experience with Snowflake
• Experience with AI concepts and data preparation for model training.
• Knowledge of data governance and security best practices.
  
  

• Impact: Be the first Data Engineer in the company and shape the infrastructure from the ground up.
• Innovation: Work on cutting-edge cybersecurity products in a fast-growing industry.
• Growth: Opportunity to lead and build a team as the company scales.
• Culture: Innovative, and growth-oriented engineering team that values creativity, ownership, and the pursuit of excellence.