Sr. Data Architect

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 innovative 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 Sr. 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 data product specific database structures, data models for the digital health data & analytics platform and data products. 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 hands-on, strategic thinker, and problem solver.

Rosponsiblilties: 

• 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 systms (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.
• Build POCs to derisk technical challenges in the solution design, and provide guidance and coaching to the data engineers for the implementation
• 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.

WHAT YOU’LL BRING TO ALCON: 

• Bachelor’s Degree or Equivalent years of directly related experience (or high school +15 yrs; Assoc.+11 yrs; M.S.+4 yrs; PhD+3 yrs) 

• The ability to fluently read, write, understand, and communicate in English

• 7 Years of Relevant Experience 

• 5 Years of Demonstrated Leadership 

• Travel Requirements: 15% Domestic

• Relocation assistance: No  

Minimum Qualifications ​

• Bachelor’s degree in computer science, operational research, or a related technical discipline.

• Over 7 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 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)
• 4+ years of experience in AWS Cloud, designing both ETL/ELT for batch processing and data streaming architectures for real-time or near real-time data ingestion and processing.
• Experience in distributed large-scale data products supporting web, mobile applications, APIs, Cloud, Event Streams, DevOps, Serverless, Big Data, and Analytics
• Proficient in programming in python, java or scala
• Good understanding of MLOps tools (eg. Sagemaker, Vertex AI)
• Skilled in data privacy and data security-related regulatory requirements, such as HIPAA, GDPR, CCPA, FDA cybersecurity for med