Cloud Data Architect – Databricks/Azure, SaaS Platform (Remote)

REGED INC

Massachusetts

À distance

USD 100 000 - 200 000

Plein temps

Il y a 5 jours
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Avantages offerts par ce poste

Competitive pay and bonus
Remote (and potentially hybrid if near
Exceptional medical, dental and vision
401(k) plan with company matching
Generous flexible time off
Company paid life insurance
Flexible Spending Accounts: Medical &/
Leave benefits including disability &/
Volunteering time off & flexible sched
Professional development
Meaningful career growth opportunities
Performance bonuses
Great working environment

Résumé du poste

RegEd is seeking a senior 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 lead the architecture of a metadata-driven data integration platform built on Databricks, Azure Data Lake Storage Gen2, and Unity Catalog—enabling ingestion of diverse formats through configurable mappings and transformations.

You will collaborate with data engineering, platform engineering, and product teams to deliver

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 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.

Responsabilités

  • Own the design and evolution of our 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.
  • Design and deliver features; translate business requirements into durable architectural patterns.
  • Own our Azure Data Factory and Databricks pipeline architecture; drive data governance via Unity Catalog and Purview.

Connaissances

Data modeling
Data warehousing
Data integrations techniques
Phyton
R
SQL
Hadoop
Spark
Databricks
Azure Data Factory
Azure Data Lake Storage Gen2
Unity Catalog
Microsoft Purview
AWS
Azure

Formation

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

Outils

Databricks
Azure Data Lake Storage Gen2
Unity Catalog
Microsoft Purview
Azure Data Factory

Description du poste

RegEd is seeking a senior 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 lead the architecture of a metadata-driven data integration platform built on Databricks, Azure Data Lake Storage Gen2, and Unity Catalog—enabling ingestion of diverse formats through configurable mappings and transformations.

You will collaborate with data engineering, platform engineering, and product teams to deliver

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