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.
#J-18808-Ljbffr