Remote Cloud Data Architect — Databricks & Azure

REGED INC; Georgia; Remote; USD 100,000 - 200,000; Full time

Benefits offered by this job

Competitive pay and bonus

Remote first organization

Flexible time off

Company paid life insurance

Flexible Spending Accounts

Disability and parental leave

Job summary

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

You will collaborate with data engineering, platform engineering, and product teams to translate requirements into durable architectural patterns, own Azure Data Factory and

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 integration 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

• Review client-provided documents to ensure they meet minimum requirements for development.
• Develop and maintain data governance policies and procedures.
• Stay up-to-date with emerging trends and technologies in data science and development.

Skills

Data architecture

Data modelling

Data warehousing

Data integration techniques

Education

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

Tools

Python

R

SQL

Hadoop

Spark

AWS

Azure

Job description

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

You will collaborate with data engineering, platform engineering, and product teams to translate requirements into durable architectural patterns, own Azure Data Factory and