Data Platform Architect

Job not on LinkedIn

July 29

Apply Now
Logo of Healthfirst

Healthfirst

Healthcare Insurance ‱ Finance ‱ 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.

1001 - 5000 employees

Founded 1993

⚕ Healthcare Insurance

💾 Finance

📋 Description

‱ 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). ‱ They will be responsible for designing and building new capabilities to integrate into the platform. ‱ Collaborate with the data product teams to ensure the platform enables value. ‱ Architect and Design the Data Lakehouse: Lead the design and implementation of a scalable and secure Data Lakehouse on AWS. ‱ Design and implement storage solutions using AWS services like S3, Iceberg. ‱ Implement best practices for data security, including encryption, IAM roles, and compliance with relevant data protection regulations. ‱ Work closely with data engineers, data scientists, and business stakeholders.

🎯 Requirements

‱ Extensive hands-on experience with AWS services related to data storage and compute (e.g., S3, Glue, EMR, Redshift, Athena, Lambda). ‱ Proven experience in designing and implementing Data Lakehouses or Data Lakes on AWS using Lake Formation ‱ Ability to design scalable, reliable, and secure architectures that meet business needs. ‱ Strong analytical and problem-solving skills with attention to detail. ‱ Excellent communication skills and the ability to work effectively in a collaborative environment. ‱ Ability to mentor junior staff. ‱ 10+ years of experience designing and/or developing data management platforms, at least 5 in the cloud. ‱ Experience as hands-on data engineer is a must. ‱ Preferred Experience: AWS Big Data Certification (or equivalent) ‱ Experience implementing cloud services with an infrastructure as code IaC methodology using AWS CloudFormation, Ansible, & Terraform ‱ Familiarity with Apache Iceberg or similar table formats for handling large-scale data in a Lakehouse environment. ‱ Experience in enabling monitoring using system observability tools like Splunk, Prometheus (with Grafana) ‱ Experience in enabling compute through containers and container orchestration using Kubernetes. ‱ Security Best Practices: Knowledge of data security and compliance best practices on AWS. ‱ Experience or knowledge of RBAC, TBAC access control on AWS ‱ Experience harvesting and leveraging metadata to drive technical processes and implementation. ‱ Experience with modern data catalogs.

đŸ–ïž Benefits

‱ medical, dental and vision coverage ‱ incentive and recognition programs ‱ life insurance ‱ 401k contributions

Apply Now

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