Sr. Data Architect SaaS Data Transformation & Migration

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