The company is seeking a Lead Data Engineer to oversee the technical design and implementation of data solutions, champion best practices in data management, and lead a team of developers. This role is critical in ensuring that our data initiatives align with business goals and that robust technical plans are in place to support our roadmap.
Requirements
- Strong expertise in SQL (MSSQL or Snowflake preferred) and ETL platforms (SSIS, Azure Data Factory, or Informatica)
- Proven experience leading technical teams and managing complex data projects.
- Experience with Agile methodologies and DevOps practices in an environment with multiple teams coordinating on a single system
Responsibilities
- Lead the team in the process design, technical architecture, and engineering practices on new implementations and day to day support and operations.
- Provide technical guidance and mentorship to the team through knowledge sharing and day to day activities (design & code reviews, story/requirements definition, writing/maintaining wiki knowledge base)
- Ensure adherence to the company's architecture, data governance, quality, and security standards and create standards for the team where the broader company standards do not cover a specific area
- Collaborate with product owner/managers and stakeholders to align data initiatives with the product roadmap.
- Manage the complete implementation team (engineers, QA, and BSA)
- Keep data projects on track with defined milestones and deliverables including raising risks with suggestions on how to mitigate, work around, or resolve them
- Foster a collaborative culture by promoting data literacy and self-service analytics across the organization
Other
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- 7+ years of experience in data engineering or data architecture roles.
- Excellent communication and stakeholder management skills.
- Able to articulate and demonstrate prior examples of implementing
- Insurance industry experience
