Alcon

Principal Data Architect – Digital Health Data & Analytics

Fort Worth, TX US
GCP Azure Streaming MySQL PostgreSQL MongoDB Kafka AWS
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Description

About the role:

At Alcon, we aspire to lead the world in innovating life-changing vision products because when people see brilliantly, they live brilliantly. As a global leader in eye care, we believe in innovating especially through cutting edge technology. We are on a journey to offer the widest array of eye care and eye health offerings with products that can treat the entire eye at each stage of life.

Our Digital Health team is harnessing technology to build a leading portfolio of digital health solutions that will transform the eye care experience for medical professionals to patients and enable improved patient outcomes – from a predictive health care delivery platform harnessing ML and analytics to innovative medical device software.

As the Principal Data Architect, you will be the technical leader and architect for the suite of data products and analytics platform services in Digital Health. You will be responsible for defining overall database structure, data models, and right technology stack for the digital health data & analytics platform. You will work closely with platform architects, product, and engineering team.  We are a fast-growing team, which will give you the opportunity to shape our ways of working and culture - think start-up, but inside a global leader in eye care. We are looking for someone who is a strategic thinker and problem solver.

Key Responsibilities

  • Lead the architecture design of a reusable and modular data & analytics platform building upon Alcon’s enterprise IT architecture that enables efficient, consistent, automated value generation from data.
  • Design the end-to-end data flow, data pipelines that consist of ingesting and processing data from various source systems (eg. Connected devices, digital products, enterprise data systems), database structure, detailed data models and schemas, data integration strategy and approaches, and database optimization.
  • Collaborate with the product team to translate user needs and business requirements into technical data requirements.
  • Work with data engineering team to develop and deliver the data products and platform services, and validate the products meet the requirements.
  • Lead the development and implementation of data standards and best practices for data governance, data management, and data quality assurance for Digital Health.
  • Work closely with the privacy and security team to define data privacy and security requirements. Develop and implement necessary technologies, policies, and procedures to ensure compliance with regulatory requirements and standards such as HITRUST, HIPAA, GDPR, ISO, SOC-II, etc.
  • Mentoring and developing data engineer talents
  • Foster a culture of creativity, collaboration, speed, innovation, and excellence while continuously elevating the quality and caliber of our engineering organization.
  • Manage relationships with third-party technology vendors and data providers to ensure data quality, accuracy, and security.

Key Requirements/Qualifications

  • Bachelor’s degree in computer science, operational research, or a related technical discipline.
  • Over 8 years of hands-on experience in data architecture design and data modeling. Demonstrated experience in leading the design and development of large-scale and highly reliable cloud-based data platform solutions.
  • 5+ years of experience in designing both ETL/ELT for batch processing and data streaming architectures for real-time or near real-time data ingestion and processing.
  • 5+ years of hands-on experience in two or more database technologies (e.g., MySQL, PostgreSQL, MongoDB) and data warehouses (e.g., Redshift, BigQuery, or Snowflake), as well as cloud-based data engineering technologies (e.g., Kafka, PubSub, Apache Airflow, Glue)
  • Experience with public clouds such as AWS, GCP, and Azure.
  • Strong understanding of Dashboard/BI and Data visualization tools (eg. Tableau, Quicksight)
  • Good understanding of MLOps tools (eg. Sagemaker, Vertex AI)
  • Extensive experience in data privacy and data security-related regulatory requirements, such as HIPAA, GDPR, CCPA, FDA cybersecurity for medical devices, and related security frameworks (e.g., ISO, NIST, HITRUST, SOC II).
  • Deep knowledge and experience in various interoperability data standards in healthcare (e.g., HL7, FHIR, c-CDA, DICOM).    
  • Experience in release management and CI/CD processes, from development release through production deployment.
  • Excellent leadership and communication skills, with the ability to collaborate effectively with cross-functional teams

ATTENTION: Current Alcon Employee/Contingent Worker

If you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site.

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Alcon is an Equal Opportunity Employer and participates in E-Verify. Alcon takes pride in maintaining a diverse environment and our policies are not to discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status. Alcon is also committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an email to alcon.recruitment@alcon.com and let us know the nature of your request and your contact information.

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