Design and implement scalable data pipelines using Databricks Lakehouse Platform, collaborating with engineers and data scientists.
About this role
This is a client-facing consulting role serving as the primary technical advisor for enterprise Databricks customers across APJ and EMEA. The engineer designs and reviews data, analytics, and AI architectures on the Databricks Lakehouse Platform, leads architecture workshops and solution-design sessions, and translates business requirements into technical implementation plans. Responsibilities include advising on platform modernization, cloud migration, and data governance; reviewing data engineering, analytics, machine learning, and GenAI workloads for scalability, performance, security, and cost optimization; and driving best practices for data pipelines, Lakehouse design, and Unity Catalog governance. The role also involves mentoring customer and internal teams, delivering executive presentations and workshops, and supporting sales teams during technical discovery and proof-of-concept activities. Requirements include 7+ years of experience in data engineering, cloud architecture, or analytics, with 3+ years working with Databricks in enterprise environments, strong knowledge of Apache Spark, Delta Lake, Unity Catalog, data governance, and Lakehouse design, proficiency in Python, SQL, and Spark, experience with at least one major cloud platform (Azure preferred, AWS, or GCP), and excellent English communication and presentation skills for engaging executive stakeholders.
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