Principal Data Architect

We are looking for a Data Architect to establish the architecture, standards, and roadmap that enable trusted data to move effectively across our 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 can work across software engineering, data engineering, analytics, product, security, and business teams to turn complex insurance data into durable, reusable data products.



* 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 that clarify ownership, reduce duplication, and support consistent use of core business data.


* Design logical and physical models, canonical schemas, event structures, data contracts, and master and reference data approaches across relational, dimensional, and NoSQL environments.


* Set architecture standards for data ingestion, transformation, storage, sharing, retention, archiving, and deletion across batch, streaming, API, and event-driven patterns.


* Architect AWS data solutions using appropriate services such as S3, Lake Formation, Glue, Redshift, Aurora, RDS, DynamoDB, Kinesis, Lambda, Step Functions, SQS, SNS, and API Gateway.


* Connect transactional applications with reporting, business intelligence, advanced analytics, machine learning, and external customer use cases without compromising operational integrity.


* Define expectations for metadata, cataloging, lineage, provenance, quality, observability, semantic consistency, and service levels so data can be understood and trusted.


* Embed privacy and security into data design, including IAM, encryption, masking, tokenization, tenant isolation, policy-based access, auditability, retention, and permitted-use controls.


* Guide database and workload design across relational, NoSQL, warehouse, and object storage technologies, including partitioning, indexing, query patterns, scalability, reliability, and cost.


* Partner with product and business teams to translate information needs into data capabilities, making dependencies, constraints, and trade-offs explicit.


* Evaluate new AWS services, data patterns, and platform capabilities through focused proofs of concept and evidence-based recommendations.


* Provide architecture oversight from discovery through production and coach data engineers, software engineers, analysts, and technical leads in effective data design



* Significant experience in data engineering, database architecture, analytics engineering, or software engineering, including recent ownership of data architecture in AWS environments.


* A strong record of designing enterprise data platforms and data-intensive products that serve both ...