Azure Databricks Data Analytics Architect

Cloud Analytics Technologies, LLC; Dallas (TX); Presencial; USD 120.000 - 160.000; Jornada completa

Descripción de la vacante

CLOUD ANALYTICS TECHNOLOGIES LLC seeks a senior data engineering professional with deep experience in big data, Azure Databricks, and cloud data platforms. You will drive ingestion, transformation, and analytics pipelines, collaborating with business stakeholders and IT teams to define scope and timelines.

You will document architectures, enforce security/governance standards, and promote best practices in code quality, data security, and scalability, while mentoring a team of data engineers.

Formación

• Over 12 years of IT experience with 4 years in data ingestion and transformation pipelines.
• Proficient in Azure Databricks notebooks and Delta Lake.
• Strong knowledge of Azure Data Lake, Synapse, Data Factory and Fabric.
• Experience with ETL/ELT, data warehousing, and building data lakes.
• SQL skills with NoSQL familiarity.
• Experience with CI/CD pipelines and Git.

Responsabilidades

• Understand requirements with stakeholders and define scope for engagement with reasonable timelines.
• Document architecture processes while ensuring security and governance compliance.
• Ensure best practices for code quality, data security and scalability are followed.
• Stay updated with Databricks and related technologies to drive innovation.
• Lead and mentor a team of data engineers.
• Manage customer calls and communication with stakeholders.

Conocimientos

Big data concepts

Data engineering

Azure Databricks

SQL

NoSQL

CI/CD pipelines

Git

Leadership

Communication

Cloud computing

Herramientas

Databricks

Delta Lake

Azure Data Lake Storage Gen2

Azure Synapse

Azure Data Factory

Fabric

Databricks SQL

Git

Excel

Power BI

Descripción del empleo

CLOUD ANALYTICS TECHNOLOGIES LLC seeks a senior data engineering professional with deep experience in big data, Azure Databricks, and cloud data platforms. You will drive ingestion, transformation, and analytics pipelines, collaborating with business stakeholders and IT teams to define scope and timelines.

You will document architectures, enforce security/governance standards, and promote best practices in code quality, data security, and scalability, while mentoring a team of data engineers.