Azure Data Engineering Architect

• Posted 1 hour ago • Updated 1 hour ago
Contract W2
Fitment

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Job Details

Skills

  • Azure Databricks
  • Azure Data Factory (ADF)
  • Data Engineering Architect
  • Azure cloud ecosystem

Summary

Job Summary:

We are seeking an experienced Data Engineering Architect with experience in Azure cloud ecosystem, particularly Azure Data Factory (ADF) and Azure Databricks. The ideal candidate will design, architect, and oversee scalable, high-performance data platforms and pipelines that enable analytics, reporting, and AI/ML use cases.

Key Responsibilities

  • Architect and design end-to-end data solutions on Azure using:
    • Azure Data Factory (ADF)
    • Azure Databricks
    • Azure Data Lake (ADLS Gen2)
    • Azure Synapse / SQL Database
  • Define data architecture standards, frameworks, and best practices for:
    • Data ingestion (batch & streaming)
    • Data transformation (ETL/ELT)
    • Data storage and modeling
  • Lead the implementation of scalable data pipelines using ADF and Databricks (PySpark, SQL)
  • Design and optimize Delta Lake architecture and medallion (Bronze/Silver/Gold) data layers
  • Collaborate with stakeholders to understand business requirements and translate into technical solutions
  • Ensure data governance, security, and compliance (RBAC, data masking, encryption)
  • Provide technical leadership and mentorship to data engineering teams
  • Optimize performance and cost of Azure data services
  • Integrate real-time and batch processing pipelines

Required Skills & Qualifications

Technical Skills

  • Strong experience with:
    • Azure Data Factory (ADF) (pipelines, triggers, integration runtime)
    • Azure Databricks (PySpark, notebooks, workflows)
    • Delta Lake and lakehouse architecture
  • Expertise in:
    • Python / PySpark
    • SQL
    • Data modeling (star/snowflake schemas)
  • Experience with:
    • Azure Data Lake Storage (ADLS Gen2)
    • Azure Synapse Analytics or SQL Server
    • Data ingestion patterns (API, streaming, files, CDC)
  • Knowledge of:
    • CI/CD pipelines (Azure DevOps, GitHub)
    • Infrastructure-as-Code (ARM, Terraform preferred)
    • Monitoring (Azure Monitor, Log Analytics)

Cloud & Architecture

  • understanding of:
    • Cloud architecture patterns
    • Distributed data processing
    • Data warehousing & lakehouse concepts
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10109301
  • Position Id: 2026-18742
  • Posted 1 hour ago
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