Senior Data Architect

Senior Staff Data Architect

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

Education Qualification

• Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with advanced 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.

• 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. 

• 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.

Additional Information

Experience Level

Senior Level