Senior Data Architect — Cloud Data Platform (Databricks/Azure)

REGED INC; New Jersey; Remote; USD 100.000 - 200.000; Vollzeit

Benefits dieser Stelle

Competitive pay

Bonus

Remote work

Medical, dental, vision plans

401(k) matching

Flexible time off

Life insurance

FSA: Medical & Dependent Care

Disability & Parental leave

Volunteer time off

Professional development

Career growth

Performance bonuses

Great team

Zusammenfassung

RegEd, a leading RegTech innovator, seeks a Data Architect to design and evolve its cloud-native data platform serving 200+ clients in a multi-tenant SaaS setup. You will own the architecture of a metadata-driven data integration system built on Databricks, Azure Data Lake Storage Gen2, and Unity Catalog, enabling flexible ingestion via mappings rather than hard-coded logic.

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

Qualifikationen

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

Aufgaben

• Review client-provided documents to ensure they meet minimum requirements for development.
• Collaborate with cross-functional teams to identify business needs and develop strategies to meet those needs.
• Develop and maintain data governance policies and procedures.
• Stay up-to-date with emerging trends and technologies in a data science and development.

Kenntnisse

Data architecture

Data modeling

Data warehousing

Data integrations

Python

R

SQL

Hadoop

Spark

AWS

Azure

Databricks

Unity Catalog

Purview

Ausbildung

Bachelor’s degree in Computer Science or related field

Tools

Databricks

Azure Data Lake

Azure Data Factory

Microsoft Purview

Jobbeschreibung

RegEd, a leading RegTech innovator, seeks a Data Architect to design and evolve its cloud-native data platform serving 200+ clients in a multi-tenant SaaS setup. You will own the architecture of a metadata-driven data integration system built on Databricks, Azure Data Lake Storage Gen2, and Unity Catalog, enabling flexible ingestion via mappings rather than hard-coded logic.

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