Senior Staff Cloud Architect

Purpose:

The Staff Cloud Architect provides software and systems architectural and design leadership to the CCG DataOps Delivery Scrum Teams supporting Platform & Ecosystem. This includes working with product intake and data governance support teams to review required solutioning needs to move along the operating model frameworks. The role is of a Cloud Architect who is motivated to actively contribute to the architecture, design and development of new features. The person is also expected to perform all aspects of cloud software development including programming, system design, code review, design review, unit testing, and integration testing. The role is expected to make a difference to the product in terms of the design and contribute towards identifying technical risks and find alternate solutions to various problems. In addition to that, the role also demands to lead, motivate, mentor and provide ample guidance to the other team members with respect to technical challenges.

Responsibilities:

• Provide cloud software and systems architectural and design leadership to team of engineers. Design and implement cloud service and software architecture for new products, and extensions to existing products. Be the group’s “go-to” person for architectural, design and implementation related questions and provide guidance.
• Envision/Design/Build innovative solutions for customer needs for Products & Services. POC development and prototyping.
• Develop cloud and instrument-embedded software standards and reusable components, including instrument integration to cloud-based applications.
• Lead, contribute and deliver architecture artifacts as part of solution analysis phase
• Able to understand, articulate and challenge the requirements from the Product Management team for helping them onboard and make optimal use of the platform.
• Thinking about efficiency, security and ways to reduce customer inconveniences while designing/implementing solutions
• Collaborate with other software groups within Thermo Fisher to more effectively integrate the application into the company's platform architecture and build credibility.
• Active participation in various SAFE/Scrum ceremonies and lead the Architecture vision for every quarter.
• Responsible for E2E ownership (Architecture to support) of the software products
• Participate throughout the software development process, including the actual implementation phase as needed.
• Create relevant architectural models and work with delivery teams to implement them. Identify and mitigate technical risks
• Provides guidance regarding design activity to other programmers on technical aspects relating to the project. Work closely with scrum software development teams to actively identify & resolve quality issues throughout development.
• Actively participates in development community of practices in sharing and learning standard methodologies, leads initiatives within the community and involve in other organization initiatives
• Develop and advocate standards and standard methodologies for technology and its uses.
• Develop capability on the processes across the organization by hiring, training & coaching.
• Excellent verbal and written communication skills where ability to convey very complex information in ease with both written and oral form to both non-technical and technical audiences
• Explore and recommend new tools to keep abreast with new technologies
• Implement / modify methodologies for improving efficiencies around the team

Required skills



Bachelors degree preferred. In lieu of degree, equivalent work experience accepted



8+ years of professional work experience required

Experience designing and developing data integration solutions using ETL tools such as Matillion and DBT

Hands-on experience in the implementation of cloud data warehouses using Snowflake.

Proficiency in SQL and database table design – able to write structured and efficient queries on large data sets

Experience in a role performing data warehouse and analytics solution design and development using a variety of techniques

Ability to understand data pipelines and modern ways of automating data using cloud-based and on-premises technologies

Understanding of data architecture design, data modeling, and physical database design and tuning

Knowledge of data visualization tools such as ThoughtSpot and/or Power BI

Snowflake and other Cloud technologies certifications

Hands-on coding experience in Python, Spark, and/or Scala