Lead Data Engineer

Symfa Inc.; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Symfa Inc. seeks a Lead Data Engineer to design a cloud-based data warehouse for the insurance sector, emphasizing Azure and modern data modeling.

You will lead the data warehouse delivery, guiding the transition from legacy systems to a scalable cloud solution while providing technical leadership and collaborating with clients to translate business goals into robust data solutions.

You will own the delivery plan, identify risks, and ensure high data engineering productivity across the team.

Qualifications

• Extensive Azure experience is required.
• Strong SQL skills are essential.
• Background in data modeling and modern data architectures.
• Experience in technical leadership and mentoring.
• Ability to collaborate with clients to translate business goals into technical solutions.

Responsibilities

• Lead the development of a cloud-based data warehouse for the insurance sector.
• Transition from legacy systems to a cloud-based solution with best practices.
• Provide technical leadership and governance for data engineering efforts.
• Collaborate with clients to clarify requirements and deliver robust data solutions.
• Manage delivery plans, identify risks, and maintain team productivity.

Skills

Azure

SQL

Data modeling

Technical leadership

Client collaboration

Job description

Symfa is looking for a Lead Data Engineer to develop a cloud-based data warehouse for the insurance sector. Candidates should have extensive Azure experience, strong SQL skills, and a background in data modeling and technical leadership.

In this role, you'll lead the development of a modern data warehouse, transitioning from legacy systems to a cloud-based solution. Your responsibilities will include technical leadership, client collaboration, and ensuring high-quality data engineering practices.

As the primary technical contact, you will clarify requirements and translate business goals into robust technical solutions. You will also be responsible for managing the data warehouse delivery plan, identifying risks, and maintaining team productivity.