Senior Staff Data & Information Architect
Bengaluru, Karnātaka, India
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and structure databases, warehouses and lakes for security and scale
Build logical and physical data models from business requirements
Design and implement ETL/ELT data pipelines
Perform hands-on code reviews for data projects
Define and enforce data governance, quality and HIPAA compliance standards
From the employer’s posting
Design and structure all data systems, including databases, warehouses, and lakes
Create and maintain logical and physical data models
Design, develop, and implement ETL/ELT processes
Perform detailed code reviews for data-related projects
Define and enforce data governance standards, ensuring data quality, security, and compliance with regulations like HIPAA
What you’ll bring
All qualificationsCore experience
- 10+ years in software development and data architecture
- 4+ years with AWS or similar cloud technologies
- Hands-on coding in Python, SQL and PySpark
- Bachelor's degree in Computer Science or STEM field
- Experience with AWS services such as MSK, EMR, Glue, Lambda and Redshift
Qualification wording
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
Demonstrable experience with hands-on coding (Python, SQL, PySpark)
Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math)
strong knowledge of relevant AWS services like MSK, EMR, Glue, Lambda, and Redshift
Education & alternatives
Education Qualification - Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with advanced experience. Experience
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.
Tools in this posting
- Python
- SQL
- AWS
- Kafka
- Redshift
- Spark
- PySpark
Source — Tool mentions in context
- 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.
- 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.
- 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.
Posting record
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- Live
- First seen by us
- Oct 6, 2026 · 16 days ago
- Recorded sightings
- 58
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description SummaryWe 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.
- 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.
Relocation Assistance Provided: No
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bengaluru, Karnātaka, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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