Remote Data Architect — Cloud Data Platform Lead

REGED INC; Minnesota; A distancia; USD 100.000 - 200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive pay

Bonus program

Remote work

Hybrid option

Medical plan

Dental plan

Vision plan

401(k) plan

Paid time off

Life insurance

Flexible Spending Accounts

Parental leave

Volunteer time off

Professional development

Descripción de la vacante

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

You will own the architecture of a metadata-driven data integration stack built on Databricks, Azure Data Lake Storage Gen2, and Unity Catalog, enabling ingestion of virtually any file format through configurable mappings and transformations rather than hard-coded logic.

Formación

• 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.

Responsabilidades

• Review client-provided documents to ensure they meet minimum requirements for development.
• Collaborate with cross-functional teams to identify business needs and develop strategies to meet those needs
• Develop and maintain data governance policies and procedures
• Stay up-to-date with emerging trends and technologies in a data science and development

Conocimientos

Data architecture

Cloud data platforms

Databricks

SQL

R

Educación

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

Herramientas

Databricks

Azure Data Lake Storage Gen2

Unity Catalog

Azure Data Factory

Microsoft Purview

Descripción del empleo

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

You will own the architecture of a metadata-driven data integration stack built on Databricks, Azure Data Lake Storage Gen2, and Unity Catalog, enabling ingestion of virtually any file format through configurable mappings and transformations rather than hard-coded logic.