Senior Staff Data Architect (Remote/Flexible)

Insulet started in 2000 with an idea and a mission to enable our customers to enjoy simplicity, freedom and healthier lives through the use of our Omnipod® product platform. In the last two decades we have improved the lives of hundreds of thousands of patients by using innovative technology that is wearable, waterproof, and lifestyle accommodating.

We are looking for highly motivated, performance driven individuals to be a part of our expanding team. We do this by hiring amazing people guided by shared values who exceed customer expectations. Our continued success depends on it!

Position Overview:

Insulet Corporation, maker of the OmniPod, is the leader in tubeless insulin pump.  We are seeking a highly skilled Senior Staff Data Architect to join our team. This role involves designing and implementing robust data architectures using Databricks, AWS, and Azure platforms. The ideal candidate will have extensive experience in big data technologies, cloud platforms, and data engineering. The role is responsible for working with the data scientists and the data lake team in the cleaning, development, validation, and documentation of data sets for data science/machine learning consumption and reporting. This position will be reporting the Director of Data Engineering Center of Excellence.

We are a fast-growing company that provides an energetic work environment and tremendous career growth opportunities.

Key Responsibilities:

• 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.

Education and Experience:

• 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.

Skills/Competencies:

• Demonstrated knowledge in SQL and relational databases is required.
• Knowledge in non-relational databases (MongoDB) is a plus.
• Demonstrated knowledge of managing large data sets in the cloud (Azure, SQL, AWS etc) is required.
• Knowledge of ETL and workflow tools (Databricks, Azure Data Factory, AWS Glue, etc) is a plus.
• Demonstrated knowledge of building, maintaining and scaling cloud architectures (Azure, AWS, etc), specifically cloud data tools that leverage Spark, is preferred.
• Experienced coding abilities in Python, Java, C or scripting languages.
• Demonstrated familiarity with different data types as inputs (e.g. CSV, XML, JSON, etc).
• Demonstrated knowledge of database and dataset validation best practices.
• Demonstrated knowledge of software engineering principles and practices.
• Ability to communicate effectively and document objectives and procedures.

NOTE: This position is eligible for 100% remote working