Verisk · 15 hours ago
Data Architect
Boston, MA
Full-time
Hybrid
Senior Level, Lead/Staff
8+ years expVerisk is a leading data analytics and technology partner for the global insurance industry, seeking a Cloud Native AWS Data Architect. The role involves leading the design and implementation of modern data platforms and analytics solutions, mentoring engineering teams, and driving architecture decisions to deliver secure and scalable data solutions.
AnalyticsFinancial ServicesHealth CareInformation ServicesInsurancePublic RelationsRisk Management
Responsibilities
Lead the architecture, design, and implementation of cloud-native data platforms — including ingestion, storage, processing, metadata management, governance, and analytics enablement
Define and own data architecture standards, including patterns for data lakes, lakehouse, data warehousing, data marts, and scalable analytics solutions on AWS
Collaborate with product management, business stakeholders, and cross-functional teams to translate business requirements into data products and analytics solutions
Drive domain-driven data modeling, including canonical data models, dimensional models, and entity relationships aligned to business domains
Design and implement scalable data pipelines (batch and streaming) using AWS and modern big-data frameworks (e.g., Spark, EMR, Glue, Athena, Step Functions)
Architect data solutions leveraging S3-based Data Lake/Lakehouse patterns using open formats like Parquet / Iceberg / Delta (where applicable)
Build and govern enterprise analytics ecosystems, including semantic layer design, KPI definitions, and reusable curated datasets for BI and downstream consumers
Design and optimize data warehouses and analytical query platforms using Amazon Redshift (RA3/Serverless), Athena, and federated query patterns
Ensure robust data quality, lineage, observability, and monitoring, integrating with tools/services such as CloudWatch, Dynatrace, data pipeline metrics, and automated validation checks
Implement security best practices in data architecture including IAM, encryption (KMS), row/column-level security, PII handling, data masking, and regulatory compliance controls
Familiar with version-controlled pipelines, CI/CD automation, environment promotion, and infrastructure-as-code (Terraform/CloudFormation/CDK)
Architect event-driven and near-real-time analytics solutions using services such as Kafka/MSK, Kinesis, SQS/SNS, and streaming ingestion frameworks
Conduct proof-of-concept initiatives to evaluate emerging AWS services and tools that improve performance, cost, and developer productivity
Mentor engineering and analytics teams on architecture best practices, query performance optimization, modeling standards, and scalability patterns
Qualification
Required
Bachelor's degree in Computer Science, Software Engineering, Mathematics, or related field; Master's preferred
8+ years of progressive experience in data engineering / analytics engineering / platform engineering, with 3+ years in a Data Architect / AWS Data Architecture leadership role
Proven experience designing and implementing AWS-native analytics platforms, data lakes/lakehouse, and enterprise-scale BI/analytics architectures
Strong hands-on expertise with AWS data services including S3, Glue, Athena, Redshift, EMR, Lake Formation, RDS/Aurora, and orchestration tools like Step Functions / Airflow / MWAA
Experience with big data processing using Spark / PySpark, and modern data engineering approaches (partitioning, compaction, incremental processing, CDC patterns)
Deep proficiency in SQL, performance tuning, and scalable design for analytical workloads
Strong understanding of data modeling, metadata/catalog strategies, and data governance concepts
Strong understanding of multi-tenant architectures and secure data isolation strategies for analytics workloads
Familiarity with Agile/Scrum methodologies and experience collaborating across product, engineering, and data teams
Knowledge of infrastructure-as-code tools such as Terraform, CloudFormation, or CDK
Strong communication skills, ability to influence stakeholders, and ability to drive architecture across multiple teams
Preferred
Expertise building scalable S3-based Data Lakes / Lakehouse architectures and open table formats (Apache Iceberg / Delta Lake / Hudi)
Strong experience with Amazon Redshift (RA3 / Serverless) including performance tuning, workload management, Spectrum, and cost optimization
Proven ability to design and implement data pipelines using AWS Glue, EMR/Spark, Athena, Step Functions including batch and event-driven ingestion patterns
Experience integrating RDS / Aurora (PostgreSQL/MySQL) into analytics ecosystems, including replication/CDC and OLTP-to-analytics data flows
Familiarity with BI platforms such as Power BI, Tableau, QuickSight, Looker, and semantic modeling approaches
Understanding of data governance practices including data classification, stewardship, lineage, and access controls
Benefits
Health Insurance
A Retirement Plan
Disability benefits
A Paid Time Off program
Company
Verisk
Verisk Analytics is a data analytics and risk assessment firm for the insurance sector.
5001-10000 employees
H1B Sponsorship
Verisk has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2023 (4)
2022 (4)
2021 (2)
Funding
Current Stage
Public CompanyTotal Funding
$2.4B2025-08-07Post Ipo Debt· $1.5B
2024-05-21Post Ipo Debt· $400M
2023-03-03Post Ipo Debt· $500M
Leadership Team
Lee Shavel
President and Chief Executive Officer
Eli Schwarz
Chief Strategy Officer @ Verisk Marketing Solutions
Recent News
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