Principal Data Platform Architect

We are seeking a Principal Data Architect with a proven background in Cloud Platforms and Big Data tools and technologies. This is a hands-on role where the individual will be responsible for the architecture, design and development of our cloud data platform built on AWS!

This role will require someone with an expert level knowledge of modern cloud platforms and architectures (AWS experience required) combined with thought leadership and excellent communication skills. Your capacity to work independently, but also on a multi-functional team of peers and cross functional stakeholders, is a must. We seek a candidate who is flexible, self-motivated, curious, and willing to help us redefine the world of medical robotics with data.

Responsibilities:

• Own the end to end architecture of the Auris Data Platform which ingests data from the Monarch system and transforms it into insights for internal and external users using a scalable big data pipeline on AWS.
• Design and develop flexible, scalable and resilient data processing pipelines using industry leading tools and technologies. We love serverless architectures, containers and Databricks.
• Translate business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses.
• Write clear, detailed, concise documentation—architecture diagrams, reference architecture, data flows, data models, design, and implementation plan.
• Partner with other teams in Auris to help them use the data platform easily and seamlessly, understand their needs and design new features and capabilities to better serve them.
• Improve our API infrastructure connecting the front-end web portals to the back-end processing engine.
• Improve our data science/ML footprint by leveraging the latest innovations in the field.
• Partner with Security and Risk Management teams to improve security posture and create and test DR plans.
• Understand the challenges of the current state, influence engineering strategy, suggest suitable new capabilities, features, and functionality.

QUALIFICATIONS

• Bachelor's Degree in Computer Science, Engineering, or equivalent work experience. Advanced degree a plus.
• 8+ years’ experience with large-scale, distributed data pipelines, as well as data management, modeling, and storage (structured and unstructured stores).
• Hands-on experience with big data application development and/or with cloud data warehousing (e.g. Databricks preferred).
• Experience with data lakes and No
  
  SQL/Columnar data warehouses and relational databases(e.g. AWS Lake Formation, Redshift/Snowflake, DynamoDB or similar).

Strong programming experience and proficiency in one or more programming languages (Python preferred).

• Strong knowledge of best practices and cost optimization on AWS platform.
• Good knowledge of microservices architecture and API development and deployment.
• Superb communication and collaboration skills, able to network, interface and influence at all levels of the organization.
• Solid understanding of agile development, including Dev Ops concepts.
• Experience in healthcare or medical device industry is a strong plus.
• Hands on experience with BI solutions (e.g. PowerBI, Looker, Tableau, or other format for reporting) is a plus.

This job posting is anticipated to close on 4/3/2024. The Company may however extend this time-period, in which case the posting will remain available on  to accept additional applications.

The anticipated base pay range for this position is $113,000- $170,000

For candidates in the San Francisco Bay area $139,000 - $195500

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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