Senior Staff Data & Information Architect

Overview

Design and develop a scalable, secure, and efficient data platform for GE HealthCare. Work on multiple Data & Information projects as a project leader or internal consultant, using cloud computing, software architecture, implementation, technology innovation, and cross-functional collaboration.

What you'll do

• Design and structure data systems, including databases, warehouses, and lakes, focusing on security, scalability, and long-term strategy.
• Create and maintain logical and physical data models that translate complex business requirements into technical data specifications.
• Design, develop, and implement ETL/ELT processes for efficient and scalable data flow from various sources.
• Perform detailed code reviews for data-related projects, ensuring code quality, architectural integrity, and adherence to best practices.
• Design, build, and oversee self-serve data platforms that empower domain teams to manage their data products autonomously.
• Define and enforce data governance standards, ensuring data quality, security, and compliance with regulations like HIPAA.
• Optimize existing data architecture for performance, cost-efficiency, and reusability.
• Research and recommend emerging data technologies and analytical methods to support organizational needs and stay current with industry trends.
• Provide expert guidance and mentorship to development teams, leading through technical challenges and promoting a culture of innovation.
• Translate technical strategies for non-technical stakeholders, align data solutions with business needs, and influence senior leadership.

What you'll need

• Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with advanced experience.
• 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.
• Strong hands-on experience with databases, big data technologies, and building reliable, large-scale data platforms.
• Experience modernizing legacy data architectures for cloud and AI workloads.
• Demonstrable hands-on coding experience with Python, SQL, and PySpark for designing, implementing, and optimizing data architecture and pipelines.
• Proven experience performing detailed code reviews and enforcing best practices in a data engineering context.
• 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.
• In-depth knowledge of data modeling, lineage, cataloguing, and metadata management.
• Excellent communication, strong leadership, strategic thinking, and analytical problem-solving abilities.
• Familiarity with Agile development methodology.

Nice to have

• A master's degree in a relevant field like Computer Science or Information Systems.
• Additional technical knowledge in processing unstructured data using advanced techniques like multi-modal LLMs.
• Experience with information retrieval or content management systems.
• Experience with multi-modal AI architectures.
• Specific industry experience, such as information security assessments for cloud products in the healthcare sector.
• AWS certifications, especially the AWS Solution Architect certification.
• Ability to consult with customers to align technical solutions with enterprise outcomes.

Details

• Location: Bengaluru.
• Relocation assistance is not provided.