Azure Databricks Architect / SME

Responsibilities

Lead the architecture design and implementation of advanced analytics solutions using Azure Databricks Fabric The ideal candidate will have a deep understanding of big data technologies data engineering and cloud computing with a strong focus on Azure Databricks along with Strong SQL

Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions

Oversee the endtoend implementation of data solutions ensuring alignment with business requirements and best practices

Lead the development of data pipelines and ETL processes using Azure Databricks PySpark and other relevant tools

Integrate Azure Databricks with other Azure services eg Azure Data Lake Azure Synapse Azure Data Factory and onpremise systems

Provide technical leadership and mentorship to the data engineering team fostering a culture of continuous learning and improvement

Ensure proper documentation of architecture processes and data flows while ensuring compliance with security and governance standards

Ensure best practices are followed in terms of code quality data security and scalability

Stay updated with the latest developments in Databricks and associated technologies to drive innovation Essential Skills

Strong experience with Azure Databricks including cluster management notebook development and Delta Lake

Proficiency in big data technologies eg Hadoop Spark and data processing frameworks eg PySpark

Deep understanding of Azure services like Azure Data Lake Azure Synapse and Azure Data Factory

Experience with ETLELT processes data warehousing and building data lakes

Strong SQL skills and familiarity with NoSQL databases

Experience with CICD pipelines and version control systems like Git

Knowledge of cloud security best practices Soft Skills

Excellent communication skills with the ability to explain complex technical concepts to nontechnical stakeholders

Strong problemsolving skills and a proactive approach to identifying and resolving issues

Leadership skills with the ability to manage and mentor a team of data engineers Nice to have Skills

Power BI for dashboarding and reporting

Microsoft Fabric for analytics and integration tasks

Spark Streaming for processing realtime data streams

Familiarity with Azure Resource Manager ARM templates for infrastructure as code IaC practices Experience

Demonstrated expertise of 8 years in developing data ingestion and transformation pipelines using DatabricksSynapse notebooks and Azure Data Factory

Solid understanding and handson experience with Delta tables Delta Lake and Azure Data Lake Storage Gen2

Experience in efficiently using Auto Loader and Delta Live tables for seamless data ingestion and transformation

Proficiency in building and optimizing query layers using Databricks SQL

Demonstrated experience integrating Databricks with Azure Synapse ADLS Gen2 and Power BI for endtoend analytics solutions

Prior experience in developing optimizing and deploying Power BI reports

Familiarity with modern CICD practices especially in the context of Databricks and cloudnative solutions