Data Analytics Architect || Remote

Data Analytics Architect

Remote role

Responsibilities

1. The ideal candidate will have a good understanding of big data technologies, data engineering, and cloud computing DWH projects with a focus on Azure Databricks.
2. Work closely with business stakeholders and other IT teams to understand requirements and define the scope for engagement with a reasonable timeline.
3. Ensure proper documentation of architecture processes while ensuring compliance with security and governance standards.
4. Ensure best practices are followed by the team in terms of code quality, data security, and scalability.
5. Stay updated with the latest developments in Databricks and associated technologies to drive innovation.
6. Positive attitude and excellent communication skills to manage customer calls. Excellent problem-solving skills. Good communication and team collaboration.

Essential Skills

• Overall 12 years of experience along with 5 years of data analytics project experience
• Experience with Azure Databricks notebook development and Delta Lake
• Good understanding of Azure services like Azure Data Lake, Azure Synapse, and Azure Data Factory / Fabric
• Experience with ETL/ELT processes, data warehousing, and building data lakes
• SQL skills and familiarity with NoSQL databases
• Experience with CI/CD pipelines and version control systems like Git

Soft Skills

• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders
• Strong problem-solving 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 real-time data streams

Experience

1. Over 12 years of IT experience including 4 years specializing in developing data ingestion and transformation pipelines using Databricks, Synapse notebooks, and Azure Data Factory
2. Good understanding of different domain industries with respect to data analytics and DWH projects
3. Should be good in Excel and PowerPoint
4. Good understanding and experience with Delta tables, Delta Lake, and Azure Data Lake Storage Gen2
5. Experience in building and optimizing query layers using Databricks SQL
6. Familiarity with modern CI/CD practices especially in the context of Databricks and cloud-native solutions

Mandatory Skills: Azure Cloud Architecture