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.
Croatia
Spain
United States