Senior Architect, Data Analytics

2 days ago


San Mateo, California, United States Guidewire Full time
About Guidewire

Guidewire is the platform of choice for property and casualty insurers, providing a comprehensive suite of software solutions to help them innovate, grow, and succeed in a rapidly changing industry.

Job Summary

We are seeking an experienced Senior Architect, Data Analytics to join our team. As a key member of our data engineering team, you will be responsible for designing and developing scalable cloud-native data analytics platforms and solutions.

Responsibilities
  • Design and develop a scalable cloud-native data analytics platform and solutions
  • Own architecture and provide technical leadership to multiple teams and mentor junior engineers on standards and best practices
  • Hands-on coding (> 30% of the time)
  • Assess, benchmark, and select data analytics technologies
  • Own and enforce well-architecture principles such as operational efficiency, scalability, availability, performance, cost, and data security
  • Identify areas of architectural risk and work with other engineering teams to address them
  • Collaborate with stakeholders including product managers, data scientists, and insurance domain experts to define requirements and design solutions
Requirements
  • BS or MS degree (Computer Science, Engineering, Mathematics, Statistics, or related field)
  • 5+ years of required work experience with proven track record architecting and delivering scalable data analytics products and solutions
  • Extensive experience working on a public cloud like AWS and its associated tech stack (e.g. EC2, Kubernetes, ECS, EMR, S3, SageMaker, Redshift, Athena, Airflow, etc.)
  • Ability to design large-scale distributed Big Data processing systems using technologies such as Hadoop, Spark, Kafka, etc. and open data formats such as Apache Hudi, Iceberg, Parquet, etc.
  • Excellent software design and development skills using languages such as Python, Java, Scala, etc.
  • Experience with microservices architecture patterns and container technologies such as Docker and Kubernetes
  • Hands-on knowledge of cyber-security concepts in operating systems, cross-platform systems, software, network protocols, and cloud infrastructure
  • Solid understanding of CI/CD and DevOps and experience with meeting operational SLAs
Preferred Qualifications
  • Experience in InsurTech, FinTech, and/or P&C domain knowledge
  • Experience with data science and machine learning techniques, and operationalizing analytic models (MLOps)
  • Experience or sound understanding of GenAI LLM models, frameworks, and tools
What We Offer

We offer a competitive salary range of $180,000 - $210,000 per year, as well as a comprehensive benefits package and opportunities for professional growth and development.

Guidewire is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive workplace where everyone feels valued and respected.



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