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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Architect - **Company:** Air Worldwide - **Location:** Boston, MA, United States - **Salary:** $77,100.0 - $106,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Business Analytics Applications, Data Analysis, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Amazon DynamoDB, Identity and Access Management, PostgreSQL, Machine Learning, Metadata, Microsoft SQL Server, MySQL, NoSQL, Reference Data, Standard Sql, Amazon Simple Notification Service (SNS), Software Engineering, Data Streaming, Systems Integration, Enterprise Data Management, Data Ingestion, State Machines, Indexer, Amazon Relational Database Service, Data Lakes, Storage Technologies, Information Technology, AWS Glue, AWS Data Analytics, Operational Systems, Data Management, Functional Programming, Api Design, Api Gateway, Amazon Simple Queue Service (SQS), Domain Driven Design, Data Pipelines - **Published:** October 2, 2026 - **Apply:** https://www.jofdav.com/jobs/59946554-principal-data-architect ## About the Role * 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 operational and analytical workloads. * Deep expertise in data modeling, including relational, dimensional, domain-driven, event-based, document, key-value, and other NoSQL approaches. * Strong SQL and database engineering knowledge across technologies such as PostgreSQL, SQL Server, MySQL, Aurora, Redshift, and DynamoDB. * Practical understanding of data lake, lakehouse, warehouse, streaming, event-driven, and API-based architecture patterns on AWS. * Experience designing data pipelines and integrations using services such as AWS Glue, Kinesis, Lambda, Step Functions, SQS, SNS, and APIs. * Strong knowledge of data governance, metadata, lineage, quality, privacy, security, retention, access control, and the operational ownership of data products. * Experience using infrastructure as code and CI/CD practices to make data platforms repeatable, controlled, testable, and supportable. * Ability to communicate complex data concepts, architecture choices, dependencies, and risks to technical teams, product leaders, and business stakeholders. * Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Mathematics, or a related discipline, or equivalent professional experience. ## Description 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 ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Dynamic Entities in .NET: Building Low-Code Systems on Top of Entity Framework Core](https://www.wearedevelopers.com/videos/100218-dynamic-entities-in-net-building-low-code-systems-on-top-of-entity-framework-core) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)