Job Description Summary
We are seeking an experienced Data Architect to design and develop a scalable secure and efficient data platform. The Data Architect will be responsible for designing and implementing the data architecture platform will work on multiple Data & Information projects in GE HealthCare as a project leader or internal consultant. The successful candidate will have a strong background in cloud computing software architecture and implementation with a passion for technology innovation and cross functional collaboration.
Job Description
Roles and Responsibilities
- Design and Architect Data Systems:Design and structure all data systems including databases warehouses and lakes focusing on security scalability and long-term strategy.
- Develop Data Models:Create and maintain logical and physical data models that translate complex business requirements into technical data specifications.
- Implement and Optimize Data Pipelines:Design develop and implement ETL/ELT processes ensuring efficient and scalable data flow from various sources.
- Conduct Hands-on Code Reviews:Perform detailed code reviews for data-related projects ensuring code quality architectural integrity and adherence to best practices.
- Oversee Self-Serve Data Platforms:Design build and oversee the creation of self-serve data platforms empowering domain teams to manage their data products autonomously.
- Drive Data Governance and Quality:Define and enforce data governance standards ensuring data quality security and compliance with regulations like HIPAA.
- Optimize Performance and Costs:Continuously mature and optimize the existing data architecture for better performance cost-efficiency and reusability.
- Evaluate and Recommend Technology:Research and recommend emerging data technologies and analytical methods to support the organizations needs and stay current with industry trends.
- Provide Technical Leadership:Offer expert guidance and mentorship to development teams leading through technical challenges and promoting a culture of innovation.
- Communicate and Collaborate:Effectively translate technical strategies for non-technical stakeholders align data solutions with business needs and influence senior leadership.
Education Qualification
- Bachelors Degree in Computer Science or STEM Majors (Science Technology Engineering and Math) with advanced experience.
Experience
- Candidates generally need 10 years of professional experience in software development and data architecture.
- Extensive experience often 4 or more years with AWS or similar cloud technologies particularly in designing scalable cloud solutions is necessary.
- Strong hands-on experience with databases big data technologies and building reliable large-scale data platforms is expected.
- Experience modernizing legacy data architectures for cloud and AI workloads is also valuable.
- Demonstrable experience with hands-on coding (Python SQL PySpark) for designing implementing and optimizing data architecture and pipelines.
- Proven experience in performing detailed code reviews and enforcing best practices in a data engineering context.
Skills
- Required technical skills include proficiency in Python and SQL strong knowledge of relevant AWS services like MSK EMR Glue Lambda and Redshift expertise in real-time data streaming with Kafka and Spark and in-depth knowledge of data modeling lineage cataloguing and metadata management.
- Essential soft skills include excellent communication strong leadership strategic thinking and analytical problem-solving abilities. Familiarity with Agile development methodology is also beneficial.
Preferred qualifications
- A masters degree in a relevant field like Computer Science or Information Systems is preferred.
- Additional technical knowledge in processing unstructured data using advanced techniques like multi-modal LLMs experience with information retrieval or content management systems and experience with multi-modal AI architectures are highly desirable.
- Specific industry experience such as information security assessments for cloud products in the healthcare sector is a plus.
- AWS certifications especially the AWS Solution Architect certification are preferred.
- The ability to consult with customers to align technical solutions with enterprise outcomes is also valued.
Additional Information
Relocation Assistance Provided: No
Required Experience:
Staff IC
Job Description SummaryWe are seeking an experienced Data Architect to design and develop a scalable secure and efficient data platform. The Data Architect will be responsible for designing and implementing the data architecture platform will work on multiple Data & Information projects in GE Health...
Job Description Summary
We are seeking an experienced Data Architect to design and develop a scalable secure and efficient data platform. The Data Architect will be responsible for designing and implementing the data architecture platform will work on multiple Data & Information projects in GE HealthCare as a project leader or internal consultant. The successful candidate will have a strong background in cloud computing software architecture and implementation with a passion for technology innovation and cross functional collaboration.
Job Description
Roles and Responsibilities
- Design and Architect Data Systems:Design and structure all data systems including databases warehouses and lakes focusing on security scalability and long-term strategy.
- Develop Data Models:Create and maintain logical and physical data models that translate complex business requirements into technical data specifications.
- Implement and Optimize Data Pipelines:Design develop and implement ETL/ELT processes ensuring efficient and scalable data flow from various sources.
- Conduct Hands-on Code Reviews:Perform detailed code reviews for data-related projects ensuring code quality architectural integrity and adherence to best practices.
- Oversee Self-Serve Data Platforms:Design build and oversee the creation of self-serve data platforms empowering domain teams to manage their data products autonomously.
- Drive Data Governance and Quality:Define and enforce data governance standards ensuring data quality security and compliance with regulations like HIPAA.
- Optimize Performance and Costs:Continuously mature and optimize the existing data architecture for better performance cost-efficiency and reusability.
- Evaluate and Recommend Technology:Research and recommend emerging data technologies and analytical methods to support the organizations needs and stay current with industry trends.
- Provide Technical Leadership:Offer expert guidance and mentorship to development teams leading through technical challenges and promoting a culture of innovation.
- Communicate and Collaborate:Effectively translate technical strategies for non-technical stakeholders align data solutions with business needs and influence senior leadership.
Education Qualification
- Bachelors Degree in Computer Science or STEM Majors (Science Technology Engineering and Math) with advanced experience.
Experience
- Candidates generally need 10 years of professional experience in software development and data architecture.
- Extensive experience often 4 or more years with AWS or similar cloud technologies particularly in designing scalable cloud solutions is necessary.
- Strong hands-on experience with databases big data technologies and building reliable large-scale data platforms is expected.
- Experience modernizing legacy data architectures for cloud and AI workloads is also valuable.
- Demonstrable experience with hands-on coding (Python SQL PySpark) for designing implementing and optimizing data architecture and pipelines.
- Proven experience in performing detailed code reviews and enforcing best practices in a data engineering context.
Skills
- Required technical skills include proficiency in Python and SQL strong knowledge of relevant AWS services like MSK EMR Glue Lambda and Redshift expertise in real-time data streaming with Kafka and Spark and in-depth knowledge of data modeling lineage cataloguing and metadata management.
- Essential soft skills include excellent communication strong leadership strategic thinking and analytical problem-solving abilities. Familiarity with Agile development methodology is also beneficial.
Preferred qualifications
- A masters degree in a relevant field like Computer Science or Information Systems is preferred.
- Additional technical knowledge in processing unstructured data using advanced techniques like multi-modal LLMs experience with information retrieval or content management systems and experience with multi-modal AI architectures are highly desirable.
- Specific industry experience such as information security assessments for cloud products in the healthcare sector is a plus.
- AWS certifications especially the AWS Solution Architect certification are preferred.
- The ability to consult with customers to align technical solutions with enterprise outcomes is also valued.
Additional Information
Relocation Assistance Provided: No
Required Experience:
Staff IC
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