Data Architect

April 25, 2024

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Logo of Sesame

Sesame

Sesame is a healthcare company that offers a range of telehealth services, including urgent care, mental health consultations, weight loss programs, and prescription refills. They provide accessible and affordable healthcare solutions with top-rated doctors and specialists available online. Patients can book appointments for services like dermatology, pediatrics, cardiology, and more. Sesame aims to save patients money, providing care as low as $37 per visit without the need for insurance. They also offer Sesame Plus membership for additional savings and benefits.

Description

β€’ Design and develop the data platform to efficiently and cost-effectively address various data needs across the business β€’ Lead development of the Enterprise Data Lake focusing on the business needs β€’ Work closely with data analysts and business stakeholders to make data easily accessible and understandable to them β€’ Provide leadership and mentorship to data Engineering staff

Requirements

β€’ Minimum 5+ years of architecture experience β€’ 5+ years of experience with cloud data technologies such as Snowflake, GCP, Temporal, Postgres, and ClickHouse β€’ Lead the transformation of our data utilization mindset and practices through proactive exploratory analytics, quantitative analysis, and advanced data mining techniques β€’ Define the vision, requirements, and lead development of the Enterprise Data Lake focusing on the business needs β€’ Inform and influence the overall Enterprise Data technology vision β€’ Develops conceptual, logical, and physical data models, and supports the development of data strategies by building roadmaps and creating processes to meet current and future needs β€’ Spearhead initiatives focused on optimizing the scalability, resilience, and reliability of our data architecture β€’ Work closely with data analysts and business stakeholders to make data easily accessible and understandable to them. β€’ Develop and enforce data engineering, security, data quality standards through automation β€’ Be responsible for cloud cost and improving efficiency β€’ Provides leadership and mentorship to data Engineering staff

Benefits

β€’ Competitive total compensation package with generous equity β€’ Generous, flexible vacation policy β€’ A fun and international work environment with teams in New York and Europe (Berlin, Germany) β€’ The opportunity to work independently and remotely β€’ The chance to learn first-hand about the biggest industry in the world

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