Azure Data Architect

  • Raritan, NJ
  • Posted 21 days ago | Updated 20 days ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Azure Data Architect
SAP data integration

Job Details

Position: Azure Data Architect
Location: Raritan, NJ (Onsite/Hybrid)
Duration: Long-Term Contract

Job Summary:
We are seeking an experienced Azure Data Architect with strong expertise in Databricks, Azure Cloud, and SAP data integration. The architect will lead a critical project focused on improving manufacturing site assessments and performance metrics by combining assessment scores with performance data to drive actionable insights.

Key Responsibilities:

  • Design and implement scalable Azure-based big data solutions using Databricks.

  • Create robust conceptual and logical data models to support business use cases.

  • Architect data streaming and data modeling solutions across large-scale projects.

  • Ensure data quality and integrity through effective governance and validation mechanisms.

  • Collaborate with stakeholders, data scientists, and engineers to translate requirements into scalable architectures.

  • Drive innovation by evaluating and deploying modern data tools and frameworks.

  • Support ETL architecture and data lake strategies for both structured and unstructured data.

  • Provide technical leadership and act as a subject matter expert on big data platforms.

Required Skills:

  • Strong experience with Databricks, Azure Cloud, and SAP data integration.

  • Expertise in Databricks Asset Bundles, data streaming, and advanced data modeling.

  • Proven success architecting at least two large-scale big data projects.

  • Knowledge of data archiving, purging mechanisms, and data scalability.

  • Excellent problem-solving, communication, and cross-functional collaboration skills.

Preferred Qualifications:

  • Degree in Computer Science, Engineering, or related field.

  • 8+ years of experience in data architecture roles with a strong Azure and Databricks focus.

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