Analytics Architect – Azure Databricks

2 semanas atrás

Cabedelo, Brasil GeorgiaTEK Systems Inc. Tempo inteiro

Analytics Architect – Azure Databricks / Microsoft Fabric

Responsibilities
Lead the architecture, design and implementation of advanced analytics solutions using Azure Databricks and Microsoft Fabric .
Partner closely with business stakeholders and cross-functional IT teams to translate requirements into scalable analytics platforms.
Own the end-to-end delivery of data solutions, ensuring adherence to architectural standards, security, governance and best practices.
Design, build and optimize data ingestion pipelines and ETL/ELT frameworks using Azure Databricks, PySpark and Azure Data Factory .
Integrate Databricks with Azure Data Lake Storage Gen2, Azure Synapse, Microsoft Fabric and on-premise systems.
Provide technical leadership and mentorship to data engineering teams, promoting continuous improvement and innovation.
Maintain comprehensive documentation of architecture, data flows and operational processes.
Enforce best practices around code quality, performance optimization, scalability and data security.
Stay current with Databricks and Azure analytics advancements to continuously evolve the platform.

Essential Skills
Extensive hands-on experience with Azure Databricks , including cluster management, notebooks and Delta Lake .
Strong proficiency in PySpark , Spark and big data technologies (Hadoop ecosystem).
In-depth knowledge of Azure Data Lake, Azure Synapse, Azure Data Factory , Power BI, SSRS, SSAS and SKU transitions (PSKU to F SKU).
Expertise in building data lakes, data warehouses and large-scale ETL/ELT pipelines.
Advanced SQL skills with familiarity in NoSQL databases.
Experience with CI/CD pipelines , Git and modern DevOps practices.
Solid understanding of cloud security and governance principles.

Soft Skills
Excellent communication skills, with the ability to articulate complex technical concepts to business stakeholders.
Strong analytical and problem-solving mindset with a proactive approach to risk mitigation.
Proven leadership and mentoring capabilities.

Nice to Have
Advanced experience with Power BI for reporting and analytics.
Knowledge of Microsoft Fabric for analytics and integration workloads.
Experience with Spark Streaming for real-time data processing.
Familiarity with Azure Resource Manager (ARM) templates and Infrastructure as Code practices.

Experience Requirements
12+ years of experience building data ingestion and transformation pipelines using Databricks, Synapse Notebooks and Azure Data Factory .
Hands-on expertise with Delta Tables, Delta Lake and ADLS Gen2 .
Experience using Auto Loader and Delta Live Tables for scalable data ingestion.
Proven ability to build and optimize query layers using Databricks SQL .
Demonstrated integration of Databricks with Azure Synapse, ADLS Gen2 and Power BI for end-to-end analytics solutions.
Prior experience designing, optimizing and deploying Power BI dashboards and reports .
Strong exposure to modern CI/CD frameworks within Databricks and cloud-native environments.

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