Azure Databricks Architect

We Are Hiring | Azure Databricks ArchitectLocation: Seattle, WA (Onsite)Employment Type: Full-TimeWe are looking for an experienced Azure Databricks Architect to lead the design and implementation of scalable, cloud-native data platforms. If you are passionate about building modern data architectures and solving complex data engineering challenges on Microsoft Azure, we would love to connect with you.Key Responsibilities:Architect and implement enterprise-scale data solutions using Azure Databricks.Design robust ETL/ELT pipelines and modern Lakehouse architectures.Build scalable data platforms using Azure Data Factory, Azure Synapse, Azure Data Lake Storage, and related Azure services.Optimize Spark workloads for performance, scalability, and cost efficiency.Collaborate with cross-functional teams to define technical roadmaps and best practices.Ensure data security, governance, and compliance across the platform.Required Skills:10+ years of experience in Data Engineering or Cloud Data Architecture.Strong expertise in Azure Databricks and Apache Spark (PySpark/Scala).Hands-on experience with Azure Data Factory, ADLS Gen2, Synapse Analytics, and Azure SQL.Proficiency in Python and SQL.Experience designing Lakehouse architectures and enterprise data platforms.Knowledge of CI/CD, Infrastructure as Code (Terraform), and DevOps practices is a plus.If you are passionate about building next-generation data platforms and want to work on cutting-edge cloud technologies, we encourage you to apply.Interested candidates can send their resume to abhishek.singh@arkhyatech.com or connect with me on LinkedIn.