Senior Staff Data Architect at GE Healthcare

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, TechnologyIndustries

Requirements

Bachelor's Degree in Computer Science or STEM Majors (Science, Technology, Engineering, Math) with advanced experience
10+ years of professional experience in software development and data architecture
Extensive experience (4+ years) with AWS or similar cloud technologies, particularly 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 (Python, SQL, PySpark) for designing, implementing, and optimizing data architecture and pipelines
Proven experience performing detailed code reviews and enforcing best practices in data engineering
Proficiency in Python and SQL
Strong knowledge of AWS services (MSK, EMR, Glue, Lambda, 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 skills
Familiarity with Agile development methodology
Preferred Qualifications
Master's degree in 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

Responsibilities

Design and structure all 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, ensuring 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, empowering domain teams to manage their data products autonomously
Define and enforce data governance standards, ensuring data quality, security, and compliance with regulations like HIPAA
Continuously mature and optimize existing data architecture for better 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 technical leadership, expert guidance, and mentorship to development teams, promoting innovation
Communicate technical strategies to non-technical stakeholders, align data solutions with business needs, and influence senior leadership

Skills

Data Architecture

Cloud Computing

ETL

ELT

Data Modeling

Data Pipelines

Data Warehouses

Data Lakes

Data Governance

HIPAA

Code Reviews

Self-Serve Data Platforms

GE Healthcare

Healthcare technology and data analytics provider

About GE Healthcare

GE Healthcare provides a range of healthcare technologies and services aimed at improving patient care. Its main products include imaging systems, mobile diagnostic devices, patient monitoring solutions, and advanced software for data analysis. These products help medical professionals make informed decisions and enhance the efficiency of healthcare delivery. Unlike many competitors, GE Healthcare invests significantly in research and development, allocating $1 billion each year to innovate and enhance its offerings. The company’s goal is to support healthcare providers in delivering better patient outcomes, as evidenced by its technology supporting over 300,000 patients daily and managing 2 billion patient scans each year.

Chicago, IllinoisHeadquarters

1892Year Founded

N/ACompany Stage

Data & Analytics, HealthcareIndustries

10,001+Employees