Senior Cloud Data Architect: Azure, Databricks & Governance

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

Benefits offered by this job

Competitive pay and bonus

Remote or hybrid work

Medical, dental and vision plans

Generous flexible time off

Company paid life insurance

Flexible Spending Accounts

Disability and parental leave

Volunteer time off

Career growth opportunities

Performance bonuses

Job summary

REGED INC is seeking a Data Architect to own the design and evolution of its cloud-native data platform serving 200+ clients across a multi-tenant SaaS environment. You will lead architecture for a metadata-driven data integration stack built on Databricks, Azure Data Lake Storage Gen2, and Unity Catalog, enabling flexible ingestion and transformations with governance via Unity Catalog and Purview.

The role requires a Bachelor’s in CS/Data Science and 10+ years of data engineering and

Qualifications

• Bachelor of Science or higher 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 governance

SQL

Python

R

Spark

Hadoop

Databricks

Azure

AWS

Education

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

Tools

Databricks

Azure Data Factory

Unity Catalog

Microsoft Purview

Azure Data Lake Storage Gen2

Hadoop

Spark

AWS

Azure

Job description

REGED INC is seeking a Data Architect to own the design and evolution of its cloud-native data platform serving 200+ clients across a multi-tenant SaaS environment. You will lead architecture for a metadata-driven data integration stack built on Databricks, Azure Data Lake Storage Gen2, and Unity Catalog, enabling flexible ingestion and transformations with governance via Unity Catalog and Purview.

The role requires a Bachelor’s in CS/Data Science and 10+ years of data engineering and