Senior Staff Data & Information Architect job opportunity at GE HealthCare.

Home Jobs In India Tag: Job Senior Staff Data & Information Architect position at GE HealthCare


DatePosted 16 Days Ago bot
GE HealthCare Senior Staff Data & Information Architect
Experience: 4-years
Pattern: full-time
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loacation Bengaluru, India
loacation Bengaluru....India

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. tex 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.

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