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At least 5 years of experience in a Solution Architect role Knowledge and skills in computing, networking, storage, anddatabase AWS services as well as AWS deployment and management services.

7+ years of experience in providing Modern data platform architectureusing Snowflake, Hands-on with data ingestion using 3rd party tools and Datatransformation using Snowpark, Streamsets etc., 

5 years of experience in integration design andoperationalization (REST APIs, Kafka, Golden Gate, ETL, Snowflake)  3-5 years of experience architecting digital automationsolutions 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 HealthAuthority community. Experience leading technical conversations, workshops andwork.

Possess in-depth knowledge on big data architecture andexperience designing & optimizing scripts to build scalable, modular, andefficient data pipelines. Demonstrate advanced expertise of multi-cloud infrastructuresolutions with breadth of technical experience and aptitude to adjust to newtechnologies 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-baseddata processing patterns and pipelines, real time streaming and event-baseddata solutions. 

Possess an aptitude to be hands on at code level and theability to abstract details to create meaningful articulation depending on theaudience. Engage in deep technical discussion, bring in thoughtleadership to various situations and help architect data solutions for theenterprise needs.  

Participate as a strong proactive driver and collaboratorwith a willingness to work with and mentor geographically distributed teams. Leverage multiple tools and programming languages to analyzeand manipulate large data sets from disparate data sources. Develop frameworks, standards & reference material forarchitecture and associated tools.

Design data marts and data models to support data scienceand other analytic requirements. Collaborate with data science team to transform data andintegrate algorithms and models into highly available, production systems.

Determine appropriate procedures to identify and collect allrequired data, validate process and recommend improvements to quality of data. Demonstrate the ability to communicate technical ideas andresults 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 maintainknowledge of overall architecture structure.  

Strives to remove ambiguity, drive consensus, and reachdecisions across stakeholders. Experience working with regulated processes and systems(e.g., GxP, HIPAA, GDPR, CSV)

Proven ability to understand and articulate businessrequirements, direction, and initiatives. Ability to translate business strategy into technologystrategy within a complex and matrixed environment. 

Excellent oral and written communication skills includingthe ability to translate and transform complex topics into concisearchitectural diagrams and presentations. Strong ability to build and manage relationships at variouslevels, both inside and outside an organisation

Responsibilities

Data Architect, Location ? Raritan, NJ, 4 days onsite, Client : Johnson & Johnson, No CPT/OPT

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 in collaboration with lead engineers.
Perform an 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, and MS Teams)


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