AWS Data Architect

Key Responsibilities

• Design and implement enterprise-grade data architecture solutions on AWS cloud platform.
• Build scalable, secure, and highly available data platforms using AWS native services.
• Architect modern data lakes, data warehouses, and real-time data processing solutions.
• Collaborate with Guidewire teams to integrate policy, claims, and billing data into enterprise data platforms.
• Define data modeling standards, metadata management, data governance, and data quality frameworks.
• Develop data ingestion, transformation, and orchestration strategies for structured and unstructured data sources.
• Create architecture blueprints, solution designs, and technical roadmaps aligned with enterprise standards.
• Optimize cloud data solutions for performance, scalability, cost efficiency, and security.
• Partner with business and analytics teams to support reporting, AI/ML, and advanced analytics initiatives.
• Implement security best practices including IAM, encryption, compliance, and governance controls.
• Support migration of on-premises data platforms to AWS cloud environments.
• Provide technical leadership and mentoring to development and engineering teams.
• Participate in architecture reviews, code reviews, and technical governance discussions.
• Work in Agile/Scrum delivery environments and collaborate across cross-functional teams.

Required Skills & Qualifications

AWS Data Architecture

• Minimum 5 years of hands-on AWS Architecture experience.
• Strong expertise in AWS data and analytics services including:
  • Amazon S3
  • AWS Glue
  • Amazon Redshift
  • AWS Lambda
  • Amazon EMR
  • Amazon RDS
  • Amazon Athena
  • Amazon Kinesis
  • AWS Lake Formation
  • Amazon DynamoDB
  • AWS Step Functions
  • Amazon CloudWatch
• Experience designing cloud-native data lakes and modern data platforms.
• Strong understanding of distributed systems and scalable architecture patterns.

Data Engineering & Integration

• Experience with ETL/ELT frameworks and large-scale data processing.
• Strong knowledge of SQL and data modeling techniques.
• Experience with real-time and batch data pipelines.
• Hands-on experience with APIs, microservices, and event-driven architectures.
• Familiarity with big data technologies such as Spark, Hadoop, or Kafka is preferred.

Guidewire & P&C Insurance Domain

• Strong experience in Property & Casualty (P&C) insurance domain.
• Hands-on exposure to Guidewire applications such as:
  • PolicyCenter
  • ClaimCenter
  • BillingCenter
• Understanding of insurance data models, underwriting, claims, policy lifecycle, and billing workflows.

Cloud & DevOps

• Experience with Infrastructure as Code (Terraform/CloudFormation).
• Exposure to CI/CD pipelines and DevOps practices.
• Knowledge of containerization technologies such as Docker and Kubernetes/EKS is a plus.

BFSI Domain

• Experience in Banking, Financial Services, or Insurance (BFSI) domain is highly preferred.
• Understanding of regulatory compliance, security standards, and enterprise governance.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
• Strong communication and stakeholder management skills.
• Ability to work independently in a fast-paced enterprise environment.
• Experience working with distributed teams and enterprise clients.

Preferred Certifications

• AWS Certified Solutions Architect – Professional
• AWS Certified Data Analytics – Specialty
• Guidewire Certifications (preferred)
• TOGAF or Enterprise Architecture certifications are a plus

Nice to Have

• Experience with Snowflake or Databricks on AWS.
• Exposure to AI/ML data platforms.
• Experience with data governance and master data management solutions.
• Knowledge of insurance analytics and reporting platforms.