Senior Data and Information Architect

GE Healthcare Private Limited; Karnataka; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

GE Healthcare Private Limited is seeking an experienced Senior Data Architect to design scalable, secure data platforms and lead data initiatives. You will drive data modeling, ETL pipelines, and governance while mentoring engineering teams across multiple projects.

The role requires strong cloud experience, hands-on coding in Python/SQL/PySpark, and the ability to align data solutions with business goals in a healthcare setting.

Qualifications

• 10+ years in software development and data architecture.
• 4+ years with AWS cloud technologies and scalable cloud solutions.
• Hands-on coding with Python, SQL, PySpark for data platforms.

Responsibilities

• Design and structure data systems including databases, warehouses, lakes.
• Create and maintain logical/physical data models.
• Develop ETL/ELT pipelines for diverse data sources.
• Conduct code reviews for data projects and enforce best practices.
• Oversee self-serve data platforms for domain teams.
• Define and enforce data governance and quality standards.
• Optimize architecture for performance and cost efficiency.
• Research emerging data technologies and analytical methods.
• Provide technical leadership and mentor development teams.
• Translate technical strategy for non-technical stakeholders.

Skills

Python

SQL

AWS cloud

Data modeling

Data governance

Leadership

Communication

PySpark

Big data

Education

Bachelor's in Computer Science

Master's in CS/IS (preferred)

Tools

MSK

EMR

Glue

Lambda

Redshift

Kafka

Spark

Job description

Senior Staff Data & Information 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.

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.

Additional Information

Relocation Assistance Provided: No Experience Level Senior Level