We are looking for a Senior Manager of Data Engineering to join our fast-growing team. Reporting to our VP, Engineering, you will own all the technical aspects of our infrastructure, including ETL pipelines, the data warehouse, and operational SLA's.
Initially, this position is an individual contributor role, but you will be responsible for hiring and mentoring a small team, as well as guiding our Data Engineering strategy.
Areas of Responsibility:
Extending and scaling our HIPAA compliant data infrastructure
Working with various internal stakeholders to gather functional requirements for our data infrastructure.
Working with data engineers to architect and deliver the required infrastructure.
Working closely with IT, security, legal and compliance to ensure that our data infrastructure always complies with HIPAA data protection, data rights, privacy rules and data security best practices.
Deploying data governance best practices
Removing any impediments that block engineers from delivering features on time.
Proactively identifying any process or technology improvements that can enhance the productivity of the team.
Identifying areas of strategic technical debt and help balance business priorities against proactively paying off technical debt.
Monitoring and ensuring the high availability and data integrity of our data infrastructure
Monitoring and continuously improving infrastructure SLAs.
Monitoring data quality, reliability and consistency for data generated by our platform, third party integrations and customer ingested data.
Leading recruiting efforts
Help to hire engineers that embody Wellframe’s core values.
Guiding the career growth of data engineers
Working closely with engineers to tailor a personalized career growth plan.
Providing mentorship and feedback to engineers to help them achieve their growth plan.
Experience, & Skills:
At least 8 years of relevant technical expertise.
Expertise in modern Big Data and Analytics, Cloud based Data Lake, Scalable computing, Data Integration and Traditional Data Warehousing.
Experience with healthcare data standards: HIPPA data privacy and security rules; ISO 27001 / ISO 27799 for the protection of sensitive health information.
Experience with data monitoring tools, such as grafana, prometheus, or graphite.
Extensive experience working in an Agile environment.
Experience mentoring and leading engineers.
Experience mentoring and managing other Data Engineers, ensuring data engineering best practices are being followed.
Expertise in understanding of scalable cloud architectures, applying data security standards to them and experience in applying them to real-world problems.