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Senior Staff Data Architect

GE HEALTHCARE -
Bengaluru, Karnataka

Apply Now

Job details

10 days ago

Qualifications

BCS
Data modeling
Cloud architecture
Computer Science
Big data
Spark
Information Systems
AWS Certified Solutions Architect – Associate
Information security
Master's degree
Databases
SQL
AWS
Math
Bachelor's degree
EMR systems
Software development
Agile
Cloud computing
Kafka
Metadata
Redshift
AI
Communication skills
Python
Software architecture

Full job description

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.
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

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