Cloud Data Architect — RegTech Platform (Remote)

REGED INC; Saint Paul (MN); Híbrido; USD 100.000 - 200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive pay

Remote or hybrid work near RegEd HQ

Excellent benefits

401(k) with company match

Generous time off

Life insurance

Flexible Spending Accounts

Disability & parental leave

Professional development

Career growth

Descripción de la vacante

RegEd seeks a Data Architect to own the design and evolution of a cloud-native data platform serving 200+ clients in a multi-tenant SaaS environment. You will lead architecture on a metadata-driven data integration platform using Databricks, Azure Data Lake Storage Gen2, and Unity Catalog, enabling flexible ingestion via configurable mappings rather than hard-coded logic.

You will collaborate with data engineering, platform engineering, and product teams to deliver features, translate

Formación

• Bachelor’s degree in Computer Science, Data Science or related field.
• 10+ years of experience in data science and development.
• Strong knowledge of data modeling, data warehousing, and data integrations techniques.
• Experience with programming languages such as Python, R, and SQL.
• Experience with big data technologies such as Hadoop and Spark.
• Experience with cloud-based data solutions such as AWS and Azure.

Responsabilidades

• Develop and maintain data governance policies and procedures.
• Stay up-to-date with emerging trends and technologies in data science and development.

Conocimientos

Data modeling

Data warehousing

Data integrations

Python

R

SQL

Hadoop

Spark

AWS

Azure

Educación

Bachelor’s degree in Computer Science, Data Science or related field

Herramientas

Databricks

Azure Data Lake Storage Gen2

Unity Catalog

Azure Data Factory

Microsoft Purview

Descripción del empleo

RegEd seeks a Data Architect to own the design and evolution of a cloud-native data platform serving 200+ clients in a multi-tenant SaaS environment. You will lead architecture on a metadata-driven data integration platform using Databricks, Azure Data Lake Storage Gen2, and Unity Catalog, enabling flexible ingestion via configurable mappings rather than hard-coded logic.

You will collaborate with data engineering, platform engineering, and product teams to deliver features, translate