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Principal Data & Information Architect
Principal Data & Information Architect
GE Healthcare's logo

Principal Data & Information Architect

Divya Srivastava's profile picture
Posted by Divya Srivastava
20 - 25 yrs
₹40L - ₹55L / yr
Bengaluru (Bangalore)
Skills
skill iconAmazon Web Services (AWS)
AWS Lambda
Job Description

Essential Responsibilities:

In this role, you will:

  • Plan engineering strategies for Edison data platform.

  • Lead and coordinate the domain technical and business discussions relative to future architecture direction.

  • Analyze design and develop a roadmap and implementation plan based upon a current vs. future state in a cohesive architecture viewpoint.

  • Review and/or analyze and develop architectural requirements at domain level within product portfolio or team.

  • Contribute to the development of software and data delivery platforms that are service-oriented with reusable components that can be orchestrated together into different methods for different businesses.

  • Lead the research and evaluation of emerging technology, industry and market trends to assist in project development and/or operational support activities.

  • Guide and mentor team members to build solution and enable successful adoption of your services by both internal and external customers.

  • Solve complex problems that arises from customer and provide alternatives

  • Provides domain expertise to own/lead technical design reviews, investigation of technical risks and analyzes impact of technology choices and provide creative solutions

  • Apply principles of SDLC and methodologies like Lean/Agile/XP, CI, good documentation practices, refactoring and testing techniques

 

Qualifications/Requirements:

Basic Qualifications:

  • Bachelor’s Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math)

  • A minimum of 15 years of professional experience in Software Development OR Master’s degree with 10 years of experience in Software Development OR PhD with 5 years of experience

  • GE Leadership Program Graduates will get credit towards relevant work experience, commensurate to the program they have completed

  • Technical expertise in System Software Design, Data Structures, Software Reliability

  • Experience working in Public Cloud Technologies like AWS or Azure or Google Cloud environments

  • Experience with Service Oriented architectures and microservices

  • Experience with multiple data management technologies such as Blob stores, Relational stores, no SQL stores, streaming data, graph databases, etc.

  • Expert understanding of functional and nonfunctional requirements

  • Excellent analytical, interpersonal and communication skills. A big part of this job is communicating effectively with other development, cross functional teams in a global environment

  • Ability to handle multiple competing priorities in a fast-paced environment

 

Desired Characteristics:

  • Experience with Healthcare data standards such as HL7 FHIR & DICOM 

  • Understanding of the threading limitations of Python, multi-process architecture, Python data structures, and Python packaging

  • Strong debugging and unit testing skills using a well-known and accepted unit testing framework

  • Strong analytical and strong problem solving skills, communicates in a clear and succinct manner and effectively evaluates information / data to make decisions, anticipates obstacles and develops plans to resolve, creates actionable strategies and operational plans

  • Experience with Analytics, machine learning or Medical Imaging is a PLUS.

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About GE Healthcare

Founded :
1994
Type :
Product
Size :
5000+
Stage :
Profitable

About

GE Healthcare Systems is a provider of technologies, digital infrastructure, data analytics and decision support tools used in the diagnosis, treatment and monitoring of patients.
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