Who you are

• The ideal candidate will bring deep expertise in Data Architecture, batch processing frameworks, and Data Modeling techniques, ensuring smooth data ingestion and export processes
• The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies
• Bachelor’s or Master’s degree in computer science, Engineering, or a related field
• 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
• 3+ years of experience managing a team or as a team lead
• 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)
• Proven leadership experience managing and developing data engineering teams, including team growth, skill development, and strategic project execution
• 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
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
• Prior Experience with Marketing Automation Platforms, Data Segmentation, and multi-channel campaign measurement will be helpful
• Familiarity with CI/CD (e.g. Azure pipelines), and IAC (e.g., Terraform) is a plus
• Experience or knowledge with creating RESTful API’s and data visualizations is a plus

What the job involves

• 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
• Success in this position will be defined by your ability to own deliverables, effectively manage your team, and drive significant, impactful results
• 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
• 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
• Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation

Benefits

• Paid Vacation
• Health Insurance
• Health Savings Account
• Dental Insurance
• Vision Insurance
• Paid Parental Leave
• Short & Long Term Disability
• Life and AD&D Insurance
• Commuter Spending
• Retirement Savings Plan