Harvey Nash

Data Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect, remote (East Coast), with a 6-month contract. Requires strong actuarial analyst experience in insurance data, SQL, Snowflake, and Python. W2 or 1099 candidates only; no H1B sponsorship available.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
720
-
🗓️ - Date
December 9, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Jersey City, NJ
-
🧠 - Skills detailed
#Data Integrity #Data Wrangling #Data Architecture #Datasets #Python #SQL (Structured Query Language) #dbt (data build tool) #Snowflake #Data Manipulation #"ETL (Extract #Transform #Load)" #Data Quality #Documentation
Role description
US citizens, Green Card Holders, and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time Role Type - W2 or 1099 Job Title: Data Architect Location: Remote – EAST COAST Duration: 06 months Must: Must have strong actuarial analyst experience working with insurance data Job Description: Key Responsibilities: • Act as a liaison between business and technology. • Oversee the systems solution and ensure that the solution aligns with business goals and processes. • Analyze and assess insurance-related datasets to identify data quality issues and recommend remediation strategies. • Collaborate with stakeholders to gather business and technical requirements. • Develop system diagrams and data flow documentation to support analytics and reporting initiatives. • Perform data wrangling and transformation tasks to prepare datasets for analysis. • Document metrics definitions, table structures, and update processes. • Work closely with engineering and analytics teams to ensure data integrity and usability. Required Skills: • Proven experience in insurance analytics and data quality assessment. • Strong SQL skills, with hands-on experience in Snowflake. • Experience in Python for data manipulation and analysis. • Ability to create clear and concise documentation, including data flows and system diagrams. • Strong understanding of data structures, metrics, and update processes. • Excellent communication and collaboration skills. Bonus Skills: • dbt