The Role
Designs and leads scalable, secure data architectures, including databases, warehouses, lakes, data models, and ETL/ELT pipelines. Oversees self-service data platforms, governance, quality, security, compliance, and performance optimization. Performs code reviews, evaluates emerging technologies, mentors engineering teams, and aligns technical solutions with business needs. Requires extensive software development and data architecture experience, cloud expertise, and hands-on coding in Python, SQL, and PySpark.
Summary Generated by Built In
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 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 organization's 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
- Bachelor's 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 master's 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.
Relocation Assistance Provided: No
Skills Required
- Bachelor's degree in Computer Science or a STEM-related major
- 10+ years of professional experience in software development and data architecture
- 4+ years of experience with AWS or similar cloud technologies
- Experience designing scalable cloud solutions
- Hands-on experience with databases, big data technologies, and large-scale data platforms
- Experience modernizing legacy data architectures for cloud and AI workloads
- Hands-on coding experience with Python, SQL, and PySpark
- Experience designing, implementing, and optimizing data architecture and pipelines
- Experience performing detailed code reviews and enforcing data engineering best practices
- Proficiency with AWS services including MSK, EMR, Glue, Lambda, and Redshift
- Expertise in real-time data streaming with Kafka and Spark
- Knowledge of data modeling, lineage, cataloguing, and metadata management
- Excellent communication, leadership, strategic thinking, and analytical problem-solving skills
- Master's degree in a relevant field such as Computer Science or Information Systems
- Experience processing unstructured data with multimodal LLMs
- Experience with information retrieval or content management systems
- Experience with multimodal AI architectures
- Healthcare cloud information security assessment experience
- AWS certification, especially AWS Solutions Architect certification
- Experience consulting with customers to align technical solutions with enterprise outcomes
GE Healthcare Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Healthcare and has not been reviewed or approved by GE Healthcare.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive, including medical, dental, and vision options with HSA-eligible choices and preventive care coverage. Mental health and well-being support programs are also emphasized as part of the overall package.
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Retirement Support — Retirement support is described as meaningful, with a 401(k) match and additional programs such as student-loan matching in some descriptions. Legacy pension and retiree medical obligations for certain closed groups also signal continued support for long-tenured populations.
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Strong & Reliable Incentives — Variable and role-linked earning opportunities appear attractive in some job families, including high on-target earnings potential in certain sales roles. Additional role-based perks like company cars and travel-related reimbursements further increase the perceived value of total rewards in those positions.
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The Company
What We Do
Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence. As a leading global medical technology and digital solutions innovator, GE Healthcare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform. With over 100 years of healthcare industry experience and around 50,000 employees globally, the company operates at the center of an ecosystem working toward precision health, digitizing healthcare, helping drive productivity and improve outcomes for patients, providers, health systems and researchers around the world. We embrace a culture of respect, transparency, integrity and diversity.
