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AWS Data Architect

Job in Plano, Collin County, Texas, 75086, USA
Listing for: Amaze Systems
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Locations:
Phoenix, AZ / Plano, TX / San Antonio, TX

Contract position

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 Cloud Watch
  • 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:
    • Policy Center
    • Claim Center
    • Billing Center
  • Understanding of insurance data models, underwriting, claims, policy lifecycle, and billing workflows.
Cloud & Dev Ops
  • Experience with Infrastructure as Code (Terraform/Cloud Formation).
  • Exposure to CI/CD pipelines and Dev Ops 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.
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