Remote Data Architect - Cloud Data Platform & Governance

REGED INC

Phoenix (AZ)

Remote

USD 100,000 - 200,000

Full time

6 days ago
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Benefits offered by this job

Competitive pay
Remote work
Medical, dental and vision plans
401(k) plan
Generous PTO
Life insurance
FSA
Disability & parental leave
Volunteer time off
Professional development
Career growth
Performance bonuses

Job summary

RegEd is seeking a Data Architect to lead the design and evolution of a cloud-native data platform serving 200+ clients in a multi-tenant SaaS environment. You will own the architecture of a metadata-driven data integration platform on Databricks, Azure Data Lake Gen2, and Unity Catalog, enabling flexible ingestion and transformations with durable patterns.

Collaborating with data and platform engineering, you will manage Azure Data Factory and Databricks pipelines, drive data governance

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 data science and development.

Skills

Data modeling
Data warehousing
Data integration
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 lead the design and evolution of a cloud-native data platform serving 200+ clients in a multi-tenant SaaS environment. You will own the architecture of a metadata-driven data integration platform on Databricks, Azure Data Lake Gen2, and Unity Catalog, enabling flexible ingestion and transformations with durable patterns.

Collaborating with data and platform engineering, you will manage Azure Data Factory and Databricks pipelines, drive data governance

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