Azure Data Architect

Cloud Analytics Technologies, LLC; Minnesota; On-site; USD 90,000 - 130,000; Full time

Job summary

Cloud Analytics Technologies, LLC seeks an experienced Data Engineer to design and optimize data pipelines using Azure Data Factory, Databricks, and Synapse, delivering robust data models and BI-ready datasets.

You will collaborate with stakeholders, mentor teammates, and help advance analytics capabilities across business units with Power BI reporting and advanced analytics solutions.

Qualifications

• 5+ years of data engineering experience with modern cloud data platforms.
• Hands-on expertise with Azure data services (ADF, Databricks, Synapse) and Power BI.
• Strong SQL Server, Python/Spark, and data warehousing skills.

Responsibilities

• Design and implement end-to-end data integration pipelines on Azure using ADF and Databricks.
• Optimize data models, ETL/ELT processes, and data quality across the data warehouse.
• Collaborate with stakeholders and mentor junior engineers.

Skills

Azure Data Factory

Azure Databricks

SQL Server

Python/Spark

Power BI

CI/CD

Azure DevOps

Git

Data warehousing

Mentoring

Tools

Delta Lake

PowerShell

Power Automate

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: USC, GC, H-1B, OPT-EAD, GC-EAD, H4-EAD

Job Summary

Roles and Responsibilities

• 9 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.

Skillset: Databricks certification Mandatory & Powerbi exp must

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Some of our Business Ventures - Knowledge Analytics

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