Principal Data Architect (AWS)

Location: Boston, MA, United States (Hybrid)

Salary: $165,000–$185,000 annualized base pay

Company

hirify.global provides catastrophe and risk solutions, including insurance-focused data and analytics products.

What you will do

• Define target data architecture and phased roadmaps for operational systems, data lakes, warehouses, integration services, analytics platforms, and customer-facing data products.
• Design domain-oriented data models, canonical schemas, event structures, data contracts, and master and reference data approaches across relational, dimensional, and NoSQL environments.
• Architect AWS solutions using services such as S3, Lake Formation, Glue, Redshift, Aurora, RDS, DynamoDB, Kinesis, Lambda, Step Functions, SQS, SNS, and API Gateway.
• Set standards for data ingestion, transformation, storage, sharing, retention, archiving, deletion, metadata, lineage, quality, observability, and service levels.
• Embed privacy and security into data design through IAM, encryption, masking, tokenization, tenant isolation, policy-based access, auditability, and permitted-use controls.
• Provide architecture oversight from discovery through production, evaluate new AWS capabilities through proofs of concept, and coach engineering and analytics teams.

Requirements

• Significant experience in data engineering, database architecture, analytics engineering, or software engineering, including ownership of data architecture in AWS environments.
• Experience designing enterprise data platforms and data-intensive products for both operational and analytical workloads.
• Deep expertise in relational, dimensional, domain-driven, event-based, document, key-value, and other NoSQL data modeling approaches.
• Strong SQL and database engineering knowledge across PostgreSQL, SQL Server, MySQL, Aurora, Redshift, and DynamoDB.
• Experience with AWS data lakes, lakehouses, warehouses, streaming, event-driven, API-based architectures, data pipelines, infrastructure as code, and CI/CD.
• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, Mathematics, or a related discipline, or equivalent professional experience.

Culture & Benefits

• Hybrid work arrangement in Boston.
• Cross-functional collaboration with software engineering, data engineering, analytics, product, security, and business teams.
• Annualized base pay varies based on geographic location, job-related knowledge, skills, and experience.