
Healthcare Insurance âą Finance âą Medicare
Healthfirst is a health insurance provider dedicated to helping New Yorkers access affordable health coverage for individuals and families. With over 30 years of experience, Healthfirst offers a range of plans including Medicaid managed care, Medicare Advantage, long-term care, and essential health plans. The company focuses on providing quality healthcare options, comprehensive benefits, and support to ensure members can maintain their health and well-being.
July 29
đœ New York â Remote
đ” $162.6k - $248.8k / year
â° Full Time
đ Senior
đŽ Lead
đ Backend Engineer
đŠ H1B Visa Sponsor

Healthcare Insurance âą Finance âą Medicare
Healthfirst is a health insurance provider dedicated to helping New Yorkers access affordable health coverage for individuals and families. With over 30 years of experience, Healthfirst offers a range of plans including Medicaid managed care, Medicare Advantage, long-term care, and essential health plans. The company focuses on providing quality healthcare options, comprehensive benefits, and support to ensure members can maintain their health and well-being.
âą The Platform architect leads and implements best-in-class data management strategies and practices in standing up and managing the enterprise data platform (Data Lakehouse). âą They will be responsible for designing and building new capabilities to integrate into the platform. âą Collaborate with the data product teams to ensure the platform enables value. âą Architect and Design the Data Lakehouse: Lead the design and implementation of a scalable and secure Data Lakehouse on AWS. âą Design and implement storage solutions using AWS services like S3, Iceberg. âą Implement best practices for data security, including encryption, IAM roles, and compliance with relevant data protection regulations. âą Work closely with data engineers, data scientists, and business stakeholders.
âą Extensive hands-on experience with AWS services related to data storage and compute (e.g., S3, Glue, EMR, Redshift, Athena, Lambda). âą Proven experience in designing and implementing Data Lakehouses or Data Lakes on AWS using Lake Formation âą Ability to design scalable, reliable, and secure architectures that meet business needs. âą Strong analytical and problem-solving skills with attention to detail. âą Excellent communication skills and the ability to work effectively in a collaborative environment. âą Ability to mentor junior staff. âą 10+ years of experience designing and/or developing data management platforms, at least 5 in the cloud. âą Experience as hands-on data engineer is a must. âą Preferred Experience: AWS Big Data Certification (or equivalent) âą Experience implementing cloud services with an infrastructure as code IaC methodology using AWS CloudFormation, Ansible, & Terraform âą Familiarity with Apache Iceberg or similar table formats for handling large-scale data in a Lakehouse environment. âą Experience in enabling monitoring using system observability tools like Splunk, Prometheus (with Grafana) âą Experience in enabling compute through containers and container orchestration using Kubernetes. âą Security Best Practices: Knowledge of data security and compliance best practices on AWS. âą Experience or knowledge of RBAC, TBAC access control on AWS âą Experience harvesting and leveraging metadata to drive technical processes and implementation. âą Experience with modern data catalogs.
âą medical, dental and vision coverage âą incentive and recognition programs âą life insurance âą 401k contributions
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