Senior Data Architect – Azure Data Platform & ETL

Ethereum Technologies; Minnesota; Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Ethereum Technologies in Minnesota is seeking a senior Data Engineer to design, build, and optimize data pipelines and analytics solutions using Azure data services.

The role requires hands-on expertise with Azure Data Factory, Azure Databricks, Synapse, SQL Server, and Power BI, plus Python/Spark for data processing and data warehousing knowledge. You will mentor teammates and coordinate with stakeholders to deliver scalable data architectures.

Formación

• 8 years of experience in Data Engineering
• Strong hands-on experience with Azure Data Factory, Azure Databricks/Synapse, SQL Server, and Power BI
• 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
• Strong stakeholder communication and mentoring experience

Responsabilidades

• 8 years of experience in Data Engineering
• Strong hands-on experience with Azure Data Factory, Azure Databricks/Synapse, SQL Server, and Power BI.
• 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.
• Strong stakeholder communication and mentoring experience.

Conocimientos

Data Engineering

ETL/ELT

Data warehousing

Data modelling

Performance tuning

Stakeholder communication

Mentoring

Herramientas

Azure Data Factory

Azure Databricks

Azure Synapse

SQL Server

Power BI

Python

Spark

PowerShell

Power Automate

Git

CI/CD

Azure DevOps

ADLS

Delta Lake

Descripción del empleo

Ethereum Technologies in Minnesota is seeking a senior Data Engineer to design, build, and optimize data pipelines and analytics solutions using Azure data services.

The role requires hands-on expertise with Azure Data Factory, Azure Databricks, Synapse, SQL Server, and Power BI, plus Python/Spark for data processing and data warehousing knowledge. You will mentor teammates and coordinate with stakeholders to deliver scalable data architectures.