Data Engineer team lead

A global startup company specializing in the insurance sector has developed and manages a cutting-edge digital platform designed for insuring small and medium-sized businesses across the United States. This platform offers a comprehensive range of insurance products including coverage for damages and disasters, liability, life insurance for key company personnel, commercial property insurance, and human resources management. The platform significantly reduces the time and resources businesses need to invest in managing their insurance needs.

Located in the Sharon region, the company operates with a hybrid working model, allowing employees to work from home three days a week.

The company employs a total of 700 people, including 180 employees based in their Israeli development center and various locations across the United States.

The company has secured $265 million in investment in its latest funding round, bringing their total funding to over $1.1 billion since its establishment. They recently surpassed a significant milestone of 500,000 active customers in the U.S., covering 1,300 different types of businesses.

Responsibility

• Lead major business data processes, pipelines, and infrastructure projects
• Ship impactful data solutions and features that enhance the data consumer experience
• Collaborate with business stakeholders to ensure alignment between data engineering initiatives and business objectives
• Work closely with Data Science, Product Managers, Architects, and Engineering Leads to define clear roadmaps and priorities for the team.
• Lead and mentor a team of passionate and talented data engineers, fostering their growth and development.
• Manage employee career development by providing coaching and mentoring, continuous performance feedback, collaborating with employees on their objectives, and providing a clear path for progression through personal development plans.
• Drive the adoption of modern data engineering practices and technologies within the team.
• Conduct code and architecture design reviews to maintain a healthy balance between features and technical debt
• Continuously learn and improve your professional and managerial skills to drive the team's success
• The technical stack for this role includes ETL processes, SQL, Python, Apache Spark, and AW

Requirements-

• Extensive experience collaborating with remote business stakeholders (Product, Data Analytics teams, Data Science, Marketing), effectively managing their needs, and aligning data solutions to support critical business objectives.
• Demonstrated track record of successfully leading teams of 4+ data engineers, showcasing the ability to attract, inspire, and motivate talented individuals.
• Proven experience (6+ years) in data engineering, showcasing a robust understanding of data architecture, ETL processes, and data warehousing principles.
• Hands-on proficiency with leading data engineering tools and technologies, including SQL, Python, Apache Spark, and other relevant frameworks.
• Familiarity with cloud computing platforms, especially AWS, for the development and deployment of data solutions.
• Strong grasp of data modeling concepts and proven experience in designing data solutions using cloud tools.
• Strong communication skills that help you to build trust, resolve conflicts, and provide feedback