AWS Data Architect: Data Platforms & Solutions

Archer; Boston (MA); In loco; USD 150.000 - 210.000; Tempo pieno

Descrizione del lavoro

Archer in collaboration with Verisk seeks a Data Architect to establish architecture, standards, and a roadmap enabling trusted data across AWS-based products and platforms. You will connect operational, analytical, and external data needs, defining how data is modeled, integrated, governed, secured, and consumed.

The role requires a practical architect who collaborates across software and data engineering, analytics, product, security, and business teams to turn complex insurance data into

Competenze

• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, Mathematics, or related field.
• Extensive experience in data architecture for AWS environments and data platforms.
• Proven ability to model, transform, govern, secure, and share data across multiple domains.
• Strong SQL and database engineering skills across PostgreSQL, SQL Server, MySQL, Redshift, DynamoDB.

Mansioni

• Define target data architecture and phased roadmap for data platforms and analytics.
• Establish domain-oriented data models and product boundaries to clarify ownership.
• Design logical/physical models, schemas, and data contracts across relational, dimensional, and NoSQL stores.
• Set architecture standards for ingestion, transformation, storage, sharing, and retention.

Conoscenze

Data modeling

AWS architecture

Data governance

SQL databases

CI/CD practices

Formazione

Bachelor's degree in CS/related field

Strumenti

AWS Glue

Kinesis

Lambda

Redshift

DynamoDB

Lake Formation

Descrizione del lavoro

Archer in collaboration with Verisk seeks a Data Architect to establish architecture, standards, and a roadmap enabling trusted data across AWS-based products and platforms. You will connect operational, analytical, and external data needs, defining how data is modeled, integrated, governed, secured, and consumed.

The role requires a practical architect who collaborates across software and data engineering, analytics, product, security, and business teams to turn complex insurance data into