Remote Cloud Data Architect — Databricks/Azure

REGED INC; Philadelphia (Philadelphia County); Remote; USD 100,000 - 200,000; Full time

Benefits offered by this job

Competitive pay and bonus

Remote work option

Excellent health plans

Job summary

RegEd is seeking a Data Architect to own the design and evolution of its cloud-native data platform serving 200+ clients in a multi-tenant SaaS environment. You will lead architecture for a metadata-driven data integration platform built on Databricks, Azure Data Lake Storage Gen2, and Unity Catalog, enabling flexible data ingestion through configurable mappings.

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

Qualifications

• 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.

Responsibilities

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

Skills

Python

R

SQL

Data modeling

Data warehousing

Data integrations

Big data

Azure/AWS

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks

Hadoop

Spark

Azure Data Factory

Azure Data Lake Storage Gen2

Unity Catalog

Microsoft Purview

Job description

RegEd is seeking a Data Architect to own the design and evolution of its cloud-native data platform serving 200+ clients in a multi-tenant SaaS environment. You will lead architecture for a metadata-driven data integration platform built on Databricks, Azure Data Lake Storage Gen2, and Unity Catalog, enabling flexible data ingestion through configurable mappings.

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