**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 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. + Solid 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. **Additional Information** **Relocation Assistance Provided:** No

📌 Senior Staff Data & Information Architect (Bengaluru)
🏢 GE Healthcare
📍 Bengaluru