Roles and Responsibilities:
Partner with Product teams and other architects to design scalable, flexible and supportable technical systems that drive business value.
Drive alignment to Enterprise and pharmaceutical R&D technology strategy, patterns and standards
Design, maintain and socialize reference architecture patterns in collaboration with Lead Engineers.
Design, maintain and socialize solution architecture collaboration with Lead Engineers.
Perform impact analysis of platform and solution changes to data applications, integrations and digital workflows.
Enable business at scale through simplification of the application landscape, system integration and intelligent automation.
Partner with Technology stakeholders to deliver and maintain architecture artifacts, including tactical and strategic product roadmaps, data flow diagrams, reference architecture diagrams, process and journey maps, integration diagrams, data and content architecture artifacts, software engineering artifacts and security architecture diagrams.
Capture architecture and design information and decisions using standard tools like Lean IX, Draw-IO, AMT, Confluence, MS Teams)
Education:
BA/BS degree in a technical, engineering or scientific field
AWS-Certified Solutions Architect Preferred
Snowflake certification
Experience and Skills:
Required:
At least 5 years of experience in a Solution Architect role
Knowledge and skills in compute, networking, storage, and database AWS services as well as AWS deployment and management services.7+ years of experience
Experience in providing Modern data platform architecture using Snowflake, Hands-on with data ingestion using 3rd party tools and Data transformation using Snowpark, Streamsets etc.,
5 years of experience in integration design and operationalization (REST APIs, Kafka, Golden Gate, ETL, Snowflake)
3-5 years of experience architecting digital automation solutions leveraging BPM, RPA, NLP and ML platforms and/or services
Proven track record of designing robust, highly available, scalable and flexible solutions that serve a multi-national user and Health Authority community.
Experience leading technical conversations, workshops and work.
Possess in-depth knowledge on big data architecture and experience designing & optimizing scripts to build scalable, modular, and efficient data pipelines.
Demonstrate advanced expertise of multi-cloud infrastructure solutions with breadth of technical experience and aptitude to adjust to new technologies and cloud trends.
Maintain and advance deep technical skills and knowledge, keeping up to date with market trends and competitive insights.
Provide experienced guidance in architecting batch-based data processing patterns and pipelines, real time streaming and event-based data solutions.
Possess an aptitude to be hands on at code level and the ability to abstract details to create meaningful articulation depending on the audience.
Engage in deep technical discussion, bring in thought leadership to various situations and help architect data solutions for the enterprise needs.
Participate as a strong proactive driver and collaborator with a willingness to work with and mentor geographically distributed teams.
Leverage multiple tools and programming languages to analyze and manipulate large data sets from disparate data sources.
Develop frameworks, standards & reference material for architecture and associated tools.
Design data marts and data models to support data science and other analytic requirements.
Collaborate with data science team to transform data and integrate algorithms and models into highly available, production systems.
Determine appropriate procedures to identify and collect all required data, validate process and recommend improvements to quality of data.
Demonstrate the ability to communicate technical ideas and results to non-technical clients in written and verbal form.
Review code and provide feedback relative to best practices, performance improvements etc.
Prepare documents for data architecture and maintain knowledge of overall architecture structure.
Strives to remove ambiguity, drive consensus, and reach decisions across stakeholders.
Experience working with regulated processes and systems (e.g., GxP, HIPAA, GDPR, CSV)
Proven ability to understand and articulate business requirements, direction, and initiatives.
Ability to translate business strategy into technology strategy within a complex and matrixed environment.
Excellent oral and written communication skills including the ability to translate and transform complex topics into concise architectural diagrams and presentations.
Strong ability to build and manage relationships at various levels, both inside and outside an organization