Azure Data Architect | Cloud Data Engineering Lead

Valiant Technologies LLC

Minnesota

On-site

USD 120,000 - 150,000

Full time

1 hour ago
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Job summary

Valiant Technologies LLC is seeking an experienced Data Engineer to design and optimize cloud-based data pipelines and data models. You will work with Azure Data Factory, Databricks or Synapse and SQL Server to deliver robust analytics solutions.

You will mentor teammates, collaborate with stakeholders, and help scale our data warehouse architecture while ensuring performance and data quality across the platform. This role emphasizes strong communication and hands-on cloud engineering.

Qualifications

  • 8 years of experience in Data Engineering.
  • 3+ years of experience with Databricks or Synapse and Python/Spark.
  • Experience with PowerShell and Power Automate.
  • Strong knowledge of data warehousing, data modelling, ETL/ELT, performance tuning, and Azure data architecture.
  • Experience with ADLS, Delta Lake, Git, CI/CD, and Azure DevOps is preferred.

Responsibilities

  • Design, build and optimize data pipelines and data models.
  • Collaborate with stakeholders to define data requirements and architecture.
  • Mentor junior engineers and promote best practices in data engineering.
  • Implement and maintain ETL/ELT processes, ensure performance and data quality.
  • Contribute to data warehousing and cloud data platform architectural decisions.

Skills

Cloud data engineering
Mentoring
Stakeholder communication
ETL/ELT design

Tools

Azure Data Factory
Azure Databricks
Azure Synapse
SQL Server
Power BI
PowerShell
Power Automate
Git
CI/CD
Azure DevOps

Job description

Valiant Technologies LLC is seeking an experienced Data Engineer to design and optimize cloud-based data pipelines and data models. You will work with Azure Data Factory, Databricks or Synapse and SQL Server to deliver robust analytics solutions.

You will mentor teammates, collaborate with stakeholders, and help scale our data warehouse architecture while ensuring performance and data quality across the platform. This role emphasizes strong communication and hands-on cloud engineering.

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