Senior Data Architect

• Proficient in discussing various architectural concepts such as lake house data warehouse data mesh and data fabric.
• Extensive background in data modeling and data architecture.
• Solid understanding of data governance data security and access controls using Azure native services.
• Expertise in architecting complex and scalable data engineering pipelines with Azure analytical stack including Databricks.
• Skilled in delivering analytical use cases through reports and dashboards.
• Proficient in preparing engineering guidelines for standardization and pipeline maintenance.
• Experience in optimizing complex applications to reduce execution time and costs.
• Capable of assessing application complexity and providing accurate estimates.
• Engages with technical and nontechnical stakeholders to ensure timely and quality delivery for largescale programs.
• Experienced in leading working sessions and proactively identifying architectural and design gaps.

• Over 12 years of overall experience with a focus on Azure tech stack for 8 years establishing a scalable global data foundation for downstream analytics.
• 8 years of handson expertise in architecting designing and implementing data ingestion pipelines at scale for batch realtime and streaming on Azure cloud platform.
• 5 years of practical experience in Azure cloud particularly with HDInsight (Azure) Spark Blob storage technologies.
• Proficiency in data wrangling advanced analytic modeling and AI/ML capabilities is desirable.
• 3 years of practical experience using Databricks. Proficient in analytical thinking robust decisionmaking and effectively bridging technical and business facets.
• Excellent communication organizational abilities adept at managing multiple projects simultaneously in ambiguous situations.
• Competent in understanding and implementing statistical solutions.
• Willing to commute to client sites in Slough or Paddington 23 times weekly.

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