Data Architect, Cloud Data Platform (Remote)

REGED INC; Annapolis (MD); Remote; USD 100,000 - 200,000; Full time

Benefits offered by this job

Competitive pay and bonus

Remote work with possible hybrid near:

Excellent medical, dental and vision

401(k) with company matching

Generous paid time off

Company paid life insurance

Flexible Spending Accounts

Disability and parental leave

Volunteer time off and flexible hours

Professional development

Career growth opportunities

Performance bonuses

Job summary

RegEd is seeking a seasoned Data Architect to design and evolve a cloud-native data platform serving 200+ clients in a multi-tenant SaaS environment. Lead a metadata-driven data integration platform on Databricks, Azure Data Lake Gen2, and Unity Catalog, enabling flexible ingestion and transformations.

Collaborate across data engineering, platform, and product teams to deliver features and governance models including Purview.

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 a data science and development.

Skills

10+ years experience

Data modeling

Data warehousing

Data integrations

Programming: Python/R/SQL

Big data: Hadoop/Spark

Cloud: AWS/Azure

Education

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

Tools

Databricks

Azure Data Lake Storage Gen2

Unity Catalog

Azure Data Factory

Microsoft Purview

Job description

RegEd is seeking a seasoned Data Architect to design and evolve a cloud-native data platform serving 200+ clients in a multi-tenant SaaS environment. Lead a metadata-driven data integration platform on Databricks, Azure Data Lake Gen2, and Unity Catalog, enabling flexible ingestion and transformations.

Collaborate across data engineering, platform, and product teams to deliver features and governance models including Purview.