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Sr. Data Architect – SaaS Data Transformation & Migration

Job in Canton, Stark County, Ohio, 44701, USA
Listing for: Revel IT
Contract position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Location: Fully Remote (U.S.)

Duration: 6-month contract to start with likely extensions

Overview

We are seeking an experienced Enterprise Data Architect to support a large-scale platform migration and enterprise data migration initiative
. This role will focus on designing scalable cloud data architectures while leading SaaS data transformation and migration into modern cloud platforms such as Databricks or Snowflake
.

The ideal candidate has strong experience modernizing data environments, migrating data from SaaS or legacy platforms, and building enterprise data architectures that support analytics and business intelligence.

Key Responsibilities
  • Lead platform migration and large-scale data migration efforts from SaaS and legacy systems into modern cloud data platforms
  • Architect enterprise data solutions across cloud environments such as Databricks or Snowflake
  • Design data models, data pipelines, and integration frameworks supporting enterprise systems
  • Implement SaaS data transformation strategies to support analytics and reporting
  • Build and optimize cloud data pipelines using tools such as dbt, Fivetran, or similar ELT tools
  • Design and implement lakehouse architectures supporting both structured and unstructured data
  • Partner with engineering, analytics, and business teams to ensure scalable, reliable data architecture
Required Experience
  • 5+ years of experience in Data Architecture or Enterprise Data Engineering (10+ preferred)
  • Strong experience with platform migration and enterprise data migration
  • Experience with cloud data platforms such as Databricks or Snowflake
  • Experience with SaaS data transformation and migration
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Strong knowledge of data modeling, data governance, and data architecture frameworks
  • Proficiency with SQL and Python
Preferred Experience
  • Experience with lakehouse technologies (Delta Lake, Apache Iceberg, Apache Hudi, Microsoft Fabric)
  • Experience with modern ELT tools such as dbt or Fivetran
  • Experience supporting BI tools such as Power BI, Tableau, Looker, or Qlik

This is a great opportunity to help drive enterprise platform modernization and cloud data transformation within a large-scale data environment.

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