Remote Senior Data Architect — Cloud Data Platform

REGED INC

Illinois

Hybrid

USD 100,000 - 200,000

Full time

5 days ago
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Benefits offered by this job

Competitive pay
Bonus program
Remote work
Hybrid option
Medical plans
401(k) plan
Generous PTO
Life insurance
FSAs
Disability leave
Parental leave
Volunteer time off
Professional development
Career growth
Performance bonus
Great team

Job summary

RegEd is seeking 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 drive the architecture of a metadata-driven data integration platform built on Databricks, Azure Data Lake Storage Gen2, and Unity Catalog, enabling flexible ingestion across formats.

You will partner with data engineering, platform engineering, and product teams to implement durable patterns, own Azure Data Factory and Databricks

Qualifications

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

Responsibilities

  • Own the design and evolution of RegEd’s cloud-native data platform serving 200+ clients in a multi-tenant SaaS environment.
  • Lead the architecture of a metadata-driven data integration platform built on Databricks, Azure Data Lake Storage Gen2, and Unity Catalog.
  • Collaborate with data engineering, platform engineering, and product teams to translate requirements into durable architectural patterns.

Skills

Data modelling
Data warehousing
Data integrations
Python
R
SQL
Hadoop
Spark
AWS
Azure

Education

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

Job description

RegEd is seeking 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 drive the architecture of a metadata-driven data integration platform built on Databricks, Azure Data Lake Storage Gen2, and Unity Catalog, enabling flexible ingestion across formats.

You will partner with data engineering, platform engineering, and product teams to implement durable patterns, own Azure Data Factory and Databricks

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