Data Architect

Valiant Technologies LLC; Minnesota; In loco; USD 120.000 - 150.000; Tempo pieno

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Cloud data engineering

Mentoring

Stakeholder communication

ETL/ELT design

Strumenti

Azure Data Factory

Azure Databricks

Azure Synapse

SQL Server

Power BI

PowerShell

Power Automate

Git

CI/CD

Azure DevOps

Descrizione del lavoro

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

• 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.

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.