Chief Data Architect

hace 2 semanas


Ciudad de México, Ciudad de México Insulet Corporation A tiempo completo
About Insulet Corporation

Insulet Corporation is a leading manufacturer of tubeless insulin pumps, revolutionizing the lives of hundreds of thousands of patients worldwide. Founded in 2000, our mission is to empower individuals to live simpler, healthier lives through innovative technology.

Career Opportunity

We are seeking an exceptional Chief Data Architect to join our expanding team. As a key member of our data engineering department, you will be responsible for designing and developing cutting-edge data lake infrastructure, automated data uploads, and data cleaning and analytics scripts.

Responsibilities
  • Develop novel data architectures and pipelines, aligning stakeholders through technical discussions.
  • Design, develop, execute, and document data validation strategies ensuring reliable data sources for enterprise decision-making.
  • Develop and execute manual and automated test cases of data pipelines, ETL processes, and data transformations.
  • Collaborate with cross-functional stakeholders to ensure quality and prompt delivery of data products.
  • Maintain and scale cloud architectures, leveraging Spark and data tools like Azure, AWS, etc.
  • Create and maintain documentation of test plans, test cases, and testing results.
  • Implement data quality best practices and optimize data workflows with data engineering and data teams.
Requirements
  • Bachelor's degree in Mathematics, Computer Science, Electrical or Computer Engineering, or a closely related STEM field required with 3-5 years of experience.
  • Master's degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a closely related STEM field.
  • Experience working with data technologies like Data Lake, Data Lakehouse, Data Warehouse.
  • Experience in data quality assurance, control, and lineage for large datasets in relational/non-relational databases.
  • Experience managing robust ETL/ELT pipelines for big real-world datasets, including messy data, unpredictable schema changes, and incorrect data types.
  • Experience validating deployments in different environments and executing tests.
  • Desirable experience in medical device, healthcare, or manufacturing industries, as well as HIPAA experience.
Estimated Salary Range: $140,000 - $180,000 per year
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