IOT Data Architect

Job Description SummaryWe are seeking an experienced IOT Data Architect to design and develop a scalable, secure, and efficient IOT data platform. The successful candidate will have a strong background in cloud computing, and software architecture and implementation with a passion for technology innovation and cross functional collaboration. The IOT Architect will be responsible for designing and implementing the data architecture platform, ensuring seamless integration with our existing systems, and providing technical leadership to the development team.

GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

Job Description

Roles and Responsibilities

In this role, you will:

• In Depth knowledge and hands on exp using python (pyspark) on real time data streaming technology - Kafka, spark, lambda

• Experience in building data processing pipelines on AWS using AWS MSK, EMR (Spark Streaming), Dynamo DB , Lambda , Glue, Athena

• Knowledge of device data ingestion and processing using AWS IoT core, IoT rules and event bridge

• Design, implement and optimize Kafka and Spark based NRT data processing pipelines  

• Expertise in building reusable, cloud native, scalable and reliable frameworks, and tools

• Design and implement reusable and cost-effective solution to meet functional and nonfunctional requirements like availability, latency, fault tolerance

 Architectural & Design Skills

• Designing scalable data pipelines for IoT telemetry

• Real-time vs batch processing architecture

• Data governance, security, and compliance

• Cost optimization strategies on AWS

Technical Skill Set

  Cloud & Infrastructure (AWS)

• AWS IoT Core, AWS Greengrass – for IoT device integration

• Amazon EMR – for big data processing using Spark/Hadoop

• AWS Lambda, Step Functions – for serverless workflows

• S3, DynamoDB, RDS – for data storage and management

• IAM, KMS, CloudWatch, CloudTrail – for security and monitoring

  

Big Data & Analytics

• Apache Spark & PySpark – for distributed data processing

• Data ingestion using Kinesis, Kafka, or AWS IoT Analytics

• ETL pipeline design and optimization

• Data lake architecture using S3 + Glue + Athena

  Programming & Scripting

• Python – core language for scripting, automation, and data processing

• Boto3 – AWS SDK for Python

• SQL – for querying structured data

• Shell scripting – for automation on EMR or EC2

  

DevOps & CI/CD

• Terraform / CloudFormation – for infrastructure as code

• Git, Jenkins, CodePipeline – for version control and deployment

• Docker – for containerization of Spark jobs or microservices

Education Qualification

Bachelor’s degree in engineering with minimum 5+ years of experience in relevant technologies.

Desired Characteristics

Technical Expertise:

• Strong knowledge of software design and coding principles

• Experience working in an Agile environment

• Familiarity with versatile implementation options

• Demonstrates knowledge on technical topics, such as caching, APIs, data transfer, scalability, and security

• Experience in building and managing big data solutions, Data Lakes, Data Warehouses, Data Integration, Data Migration, and Business Intelligence/Artificial Intelligence solutions on the Cloud (AWS)

• Experience in architecting and implementing data mesh and data fabric solutions specifically leveraging AWS services, including designing domain-oriented data architectures, data products, and data access patterns in a multi-tenant environment.

• Expertise in API integration, Subscription based APIs, Multi tenancy, enabling efficient data exchange and synchronization between various applications and platforms.

• Familiarity with advanced data management principles and best practices within   AWS environments, including data as a service, data modelling, data lineage, data cataloguing, and metadata management. 

• Develop and maintain data models, schemas, and databases while ensuring high performance, security, and reliability in a global context.

• Expertise in data modelling, database design principles, and best practices for data management within a global context.

Business Acumen:

• Demonstrates the initiative to explore alternate technology and approaches to solving problems

• Skilled in breaking down problems, documenting problem statements and estimating efforts

• Has the ability to analyze impact of technology choices

• Skilled in negotiation to align stakeholders and communicate a single synthesized perspective to the scrum team. Balances value propositions for competing stakeholders.

• Demonstrates knowledge of the competitive environment

• Demonstrates knowledge of technologies in the market to help make buy vs build recommendations, scope MVPs, and to drive market timing decisions

Leadership:

• Influences through others; builds direct and "behind the scenes" support for ideas. Pre-emptively sees downstream consequences and effectively tailors influencing strategy to support a positive outcome.

• Able to verbalize what is behind decisions and downstream implications. Continuously reflecting on success and failures to improve performance and decision-making.

• Understands when change is needed. Participates in technical strategy planning.

Personal Attributes:

• Able to effectively direct and mentor others in critical thinking skills.

• Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analysis skills and best practices.

• Finds important patterns in seemingly unrelated information.

• Influences and energizes other toward the common vision and goal.

• Maintains excitement for a process and drives to new directions of meeting the goal even when odds and setbacks render one path impassable.

• Innovates and integrates new processes and/or technology to significantly add value to GE Healthcare.

• Identifies how the cost of change weighs against the benefits and advises accordingly.

• Proactively learns new solutions and processes to address seemingly unanswerable problems.

Inclusion and Diversity

GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.

#LI-RS1

#Hybrid

Additional Information

Relocation Assistance Provided: No