Senior Staff Data Architect

3 days ago

🇺🇸 United States – Remote

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🍂 Massachusetts – Remote

Although this job is listed in Massachusetts, this company may be open to hiring remote in other states.

💵 $149.6k - $224.4k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Diabetes Youth Families

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 1938

⚕️ Healthcare Insurance

🔧 Hardware

Description

• Design and implement scalable data architectures using Databricks, AWS, and Azure. • Develop and maintain data pipelines, ensuring efficient data ingestion, processing, and storage. • Collaborate with cross-functional teams to understand data requirements and provide technical solutions. • Optimize data workflows for performance, reliability, and cost-effectiveness. • Lead data migration projects, including moving on-premises data to cloud platforms. • Ensure data security and compliance with industry standards and regulations. • Mentor and guide junior data engineers and architects. • Interface with business stakeholders in cross-functional teams, including manufacturing, quality assurance, and post-market surveillance to understand various applications and their data sets. • Develop data preprocessing tools as needed and data sets for the data scientists’ consumption.

Requirements

• Bachelor’s degree in Mathematics, Computer Science, Electrical/Computer Engineering, or a closely related STEM field is required. • Master’s degree in Mathematics, Computer Science, Electrical/Computer Engineering, or a closely related STEM field is preferred. • 5-10 years’ experience working with Cloud & Data Technologies, is required. • Experience in data Quality Assurance, Control and Lineage for large datasets in relational/non-relational databases is strongly preferred. • Experience managing robust ETL/ELT pipelines for big real-world datasets that could include messy data, unpredictable schema changes and/or incorrect data types is strongly preferred. • Proficiency in Databricks, AWS, and Azure or similar cloud platforms. • Strong programming skills in Python, Scala, or Java. • Experience with big data technologies such as Apache Spark, Hadoop, and Kafka. • Expertise in data modeling, ETL processes, and data warehousing. • Experience with both batch data processing and streaming data. • Experience in implementing and maintaining Business Intelligence tools linked to an external data warehouse or relational/non-relational databases is required. • Experience in medical device, healthcare, or manufacturing industries is desirable. • HIPAA experience a plus.