AWS Data Architect with P&C Mandatory

Role: AWS Data Architect with P&C Mandatory
Location: Pennsylvania (Day 1 Complete Onsite)
Open to C2C
Exp: Minimum of 13 Yrs
VISA: All except OPT
P&C Insurance project experience is mandatory
Role Overview
We are seeking a highly experienced AWS Data Engineer to lead the design, modernization, and implementation of scalable, cloud-native data platforms.
This role requires close collaboration with business stakeholders, data engineering teams, and leadership to define data strategies, modern architectures, and execution roadmaps.
Key Responsibilities
Lead the end-to-end architecture and design of enterprise data platforms on AWS.
Define and drive data modernization strategies, including migration from legacy platforms to cloud-native architectures.
Provide hands-on architectural guidance and contribute to solution delivery alongside data engineering teams.
Establish data architecture standards, patterns, and best practices across the organization.
Design scalable Data Lake, Data Warehouse, and Lakehouse architectures leveraging AWS, Snowflake, and Apache Iceberg.
Develop technology roadmaps aligned with business and data strategy.
Act as a trusted advisor to business and technology leadership.
Collaborate with security, infrastructure, and DevOps teams to ensure compliant and secure data solutions.
AWS & Data Platform Expertise
Architect solutions using AWS data services, along with Snowflake and Apache Iceberg, including:
Amazon S3, Redshift, Glue, Athena, EMR.
AWS Lambda, Step Functions.
Amazon RDS, DynamoDB.
Design and optimize batch and real-time data pipelines.
Implement data ingestion, transformation, and orchestration frameworks across AWS, Snowflake, and Iceberg-based Lakehouse platforms.
Ensure high availability, performance optimization, and cost efficiency.
Legacy & Modernization Experience
Strong understanding of legacy data ecosystems, including:
DB2, Mainframe, DataStage.
NoSQL platforms.
WebFocus, SAS, Qlik.
Lead migration initiatives from on-prem / legacy systems to AWS cloud-native platforms, including Snowflake and Iceberg-based Lakehouse architectures.
Modernize reporting, analytics, and data processing workloads.
AI, Automation & Innovation
Introduce AI-driven initiatives to improve data engineering productivity and operational efficiency.
Leverage automation for data quality, monitoring, and governance.
Evaluate emerging technologies and market solutions to continuously evolve the data platform.
Required Qualifications
10+ years of experience in data architecture and data engineering roles.
Proven experience as an AWS Data Engineer.
Deep hands-on expertise with AWS data services.
Strong understanding of data Modeling, ETL/ELT, and analytics platforms.
Experience modernizing large-scale, complex data environments.
Excellent communication and stakeholder management skills.
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