We are looking for an experienced Senior Solution Architect with deep expertise in Databricks and modern data engineering technologies to lead the design, architecture, and implementation of scalable data platforms. The ideal candidate will work closely with customers to understand their business objectives, translate requirements into technical solutions, and deliver high-performance, cloud-based data platforms
As a trusted technical advisor, you will provide architectural guidance, mentor engineering teams, and ensure best practices in data engineering, data governance, and platform optimization
Experience
10+ years of overall experience in Information Technology
6+ years of hands-on experience designing and implementing solutions using Databricks
Proven experience in architecting enterprise-scale data platforms and analytics solutions
Key Responsibilities
Collaborate with customers, business stakeholders, and technical teams to gather requirements and design scalable data platform architectures
Design and implement modern Data Lakehouse solutions using Databricks
Develop and optimize scalable data ingestion, transformation, and processing pipelines using Apache Spark
Define and implement data architecture following Medallion (Bronze, Silver, Gold) architecture principles
Lead solution design discussions, technical workshops, and architecture reviews with customers
Provide technical leadership and mentor development teams on Databricks best practices and modern data engineering techniques
Optimize Spark workloads for performance, scalability, and cost efficiency
Design secure, reliable, and highly available data solutions with appropriate governance and monitoring
Work closely with cross-functional teams including Data Engineers, Data Scientists, DevOps, and Cloud Architects to deliver end-to-end solutions
Identify opportunities for platform optimization, automation, and continuous improvement
Support pre-sales activities by providing technical consulting, solution presentations, architecture diagrams, and effort estimations when required
Required Technical Skills
Strong hands-on expertise in Databricks
Strong programming skills in Python and SQL
Extensive experience with Apache Spark (PySpark/Spark SQL)
Solid understanding of Data Lake and Lakehouse architectures
