Remote Data Architect — Cloud Data Platform Lead

REGED INC; Kansas City (MO); Hybrid; USD 100,000 - 200,000; Full time

Benefits offered by this job

Competitive pay and bonus

Remote & hybrid options

Excellent health plans

401(k) with company match

Generous time off

Job summary

RegEd is seeking a Data Architect to own the design and evolution of a cloud-native data platform serving 200+ clients across a multi-tenant SaaS environment.

You will lead architecture of a metadata-driven data integration platform built on Databricks, Azure Data Lake Storage Gen2, and Unity Catalog, enabling ingestion of diverse file formats through configurable mappings and transformations rather than hard-coded logic.

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 Phyton, 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 a data science and development

Skills

Data modeling

Data warehousing

Data integrations

Education

Bachelor's degree in Computer Science or Data Science

10+ years of experience in data science and development

Tools

Databricks

Azure Data Lake Storage Gen2

Unity Catalog

Azure Data Factory

Databricks pipelines

AWS

Azure

Job description

RegEd is seeking a Data Architect to own the design and evolution of a cloud-native data platform serving 200+ clients across a multi-tenant SaaS environment.

You will lead architecture of a metadata-driven data integration platform built on Databricks, Azure Data Lake Storage Gen2, and Unity Catalog, enabling ingestion of diverse file formats through configurable mappings and transformations rather than hard-coded logic.