Data Architect

ValueMomentum; United States; On-site; USD 140,000 - 190,000; Part time

Job summary

A leading solutions provider for the global property & casualty insurance industry is seeking an experienced professional in Information Technology. The role demands expertise in Cloud native Data Solutions, requiring 14+ years of experience, with recent involvement in AWS implementations. Ideal candidates will have strong knowledge of data engineering and modern data platforms, aiming to support the needs of multiple insurers in a complex IT environment. This is a contract position at the mid-senior level, focused on empowering insurers for high performance and sustained growth.

Qualifications

• 14+ years in implementing Cloud native Data Solutions for data consumption needs.
• Experience in architecting and implementing End to End Modern Data Solutions using AWS.
• Strong knowledge of cloud native data platform architectures and data engineering.
• Experience with NoSQL databases and ETL tools.
• Ability to collaborate with Data Eng, BI, and Analytics teams in complex IT environments.
• Nice to have: SageMaker production workloads; Data Mesh/Data Products awareness.

Responsibilities

• Lead design and delivery of cloud-native data solutions for diverse data consumption needs.
• Collaborate with Data Engineering, Data Management, BI and Analytics teams to implement scalable data platforms.
• Guide architecture decisions and ensure performance, reliability, and governance of data pipelines.

Skills

Data lake

AWS

Athena

Iceberg

Terraform

Glue

Snowflake

Job description

Talent Acquisition, Technology Hiring at ValueMomentum

Primary Skill: Data lake, AWS, Athena, Iceberg, Terraform, Glue, Snowflake

Desired Skill, Experience

• Should have 14+ years of experience with last 4 years in implementing Cloud native Data Solutions for variety of data consumption needs such as Modern Data warehouse, BI, Insights and Analytics
• Should have experience in architecture and implementing End to End Modern Data Solutions using AWS and advanced data processing frameworks like Databricks etc.
• Strong knowledge of cloud native data platform architectures, data engineering, and data management
• Good knowledge of popular database and data warehouse technologies from Snowflake and AWS
• Demonstrated knowledge of data warehouse concepts. Strong understanding of Cloud native databases, columnar database architectures
• Ability to work with Data Engineering teams, Data Management Team, BI and Analytics in a complex development IT environment.
• Good appreciation and at least one implementation experience on processing substrates in Data Engineering - such as ETL Tools, Confluent Kafka, ELT techniques
• Exposure to varying databases – NoSQL (at very minimum Key value stores and/or Document stores), Appliances. Be able to cite implementation experiences constraints and performance challenges in practice.
• Preferable (Nice to have): Implementing analytic models using AWS SageMaker for production workloads.
• Data Mesh and Data Products designing, and implementation knowledge will be an added advantage.

About ValueMomentum

ValueMomentum is a leading solutions provider for the global property & casualty insurance industry, supported by deep domain and technology capabilities. We offer a comprehensive suite of advisory, development, implementation, and maintenance services across the entire P&C insurance value chain. This includes Underwriting, Claims, Distribution, and more, empowering insurers to stay ahead with sustained growth, high performance, and enhanced stakeholder value. Trusted by over 75 insurers, ValueMomentum is one of the largest standalone insurance-focused solutions providers to the US insurance industry.

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Information Technology

Industries

Insurance