Lantern is searching for a seasoned Data Engineering Manager who will help shape the future of our Data Platform. This role will involve leading a team of Data Engineers and will require hands-on contribution to the design, development, and maintenance of the platform.
Requirements
- 7+ years of experience in Data Engineering, with a track record of driving technical innovation and implementation of complex data solutions at scale
- 5+ years of hands-on programming experience Python
- 4+ years of Cloud Experience: Azure (preferred)/AWS/GCP.
- 3+ years of working with EDI or HIE standards (e.g. X12, HL7, and/or FHIR).
- Experience in Modern Data Technologies like Spark, Databricks, and Kafka.
- Expertise with Microsoft SQL Server (preferred) or other relational databases.
- Experience in building data lakes to support high speed querying by the end users.
Responsibilities
- Architect, build, and maintain data infrastructure, ensuring reliability, scalability, and performance across various data sources and platforms.
- Implement Data Ingestion, Transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization.
- Collaborate with Data Engineers, Architects, and Business Analysts in building data models to improve reliability and interpretability of data for analytical and business needs.
- Define and enforce coding standards and document best practices within the team.
- Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs).
- Experience supporting production jobs and mitigate issues within the defined SLA.
- Partner with senior leadership to define Data Strategy, Roadmap and hiring for future needs.
Other
- Lead and mentor a team of data engineers to design, develop, and deploy scalable solutions.
- Collaborate with product and business stakeholders to deliver data solutions that meet user needs.
- Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation
- Proven leadership experience managing and developing data engineering teams, including team growth, skill development, and strategic project execution.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
