Principal Data Architect

Verisk

. Define the target data architecture and phased roadmap for operational systems, data lakes, warehouses, integration services, analytics platforms, and customer-facing data products .

Posted 10/1/2026full-timeBoston • Massachusetts • United StatesLead💰 $165,000 - $185,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing data architecture solutions on AWS, including data lakes, warehouses, and integration services. Proficient in data modeling, governance, and ensuring data quality and security across various platforms.

Highest-signal resume keywords

AWS Data ArchitectureData Modeling ExpertiseSQL and Database EngineeringData Governance KnowledgeInfrastructure as Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringDatabase ArchitectureAnalytics EngineeringData Platform DesignRelational Data ModelingNoSQL Data ModelingData Pipeline DesignAWS GlueAWS KinesisCI/CD Practices

Soft Skills

Communication of Complex ConceptsCollaboration with Business Teams

Tools & Technologies

AWS S3AWS Lake FormationAWS RedshiftAWS AuroraAWS RDSAWS DynamoDBAWS LambdaAWS Step FunctionsAWS SQSAWS SNS

Industry Keywords

Data GovernanceMetadata ManagementData QualityData PrivacyData SecurityData Product Ownership

Tech Stack

Tools & technologies

Amazon RedshiftAWSDynamoDBMySQLNoSQLPostgresSQL

About the role

Key responsibilities & impact

Define the target data architecture and phased roadmap for operational systems, data lakes, warehouses, integration services, analytics platforms, and customer-facing data products
Establish domain-oriented data models and product boundaries
Design logical and physical models, canonical schemas, event structures, data contracts, and master/reference data approaches
Set standards for data ingestion, transformation, storage, sharing, retention, archiving, and deletion
Architect AWS data solutions using S3, Lake Formation, Glue, Redshift, Aurora, RDS, DynamoDB, Kinesis, Lambda, Step Functions, SQS, SNS, and API Gateway
Connect transactional applications with reporting, BI, advanced analytics, machine learning, and external customer use cases
Define metadata, cataloging, lineage, provenance, quality, observability, semantic consistency, and service-level expectations
Embed privacy and security controls including IAM, encryption, masking, tokenization, tenant isolation, policy-based access, auditability, retention, and permitted-use controls
Guide database and workload design for relational, NoSQL, warehouse, and object storage technologies
Partner with product and business teams to translate information needs into data capabilities
Evaluate AWS services and data patterns through proofs of concept and evidence-based recommendations
Provide architecture oversight through production and coach engineers, analysts, and technical leads

Requirements

What you’ll need

Significant experience in data engineering, database architecture, analytics engineering, or software engineering, including recent ownership of data architecture in AWS environments
Strong record of designing enterprise data platforms and data-intensive products serving operational and analytical workloads
Deep expertise in relational, dimensional, domain-driven, event-based, document, key-value, and other NoSQL data modeling
Strong SQL and database engineering knowledge across PostgreSQL, SQL Server, MySQL, Aurora, Redshift, and DynamoDB
Understanding of AWS data lake, lakehouse, warehouse, streaming, event-driven, and API-based architecture patterns
Experience designing pipelines and integrations using AWS Glue, Kinesis, Lambda, Step Functions, SQS, SNS, and APIs
Knowledge of data governance, metadata, lineage, quality, privacy, security, retention, access control, and data product ownership
Experience with infrastructure as code and CI/CD practices
Ability to communicate complex data concepts, architecture choices, dependencies, and risks to technical and business stakeholders
Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, Mathematics, or related discipline, or equivalent professional experience

Benefits

Comp & perks

Health Insurance
Retirement Plan
Disability benefits
Paid Time Off program
Work flexibility
Support, coaching, and training
Short Term Incentive