Senior Databricks Solutions Architect (Remote) – Amsterdam, Netherlands (Remote OK)
Hiflylabs is seeking a Senior Databricks Solutions Architect to shape the future of big data for top Fortune 500 clients. This customer-facing role requires extensive hands-on expertise with Apache Spark and a broad background in designing and implementing scalable Databricks-based data solutions.
What you will do - Provide post-sales technical leadership to guide strategic customers in designing and implementing big data projects, from architecture to data engineering and deployment. - Identify initiatives that translate data into actionable business value, aligned with clients' business goals. - Architect production-grade workloads and optimize end-to-end data pipelines. - Deliver tutorials and training sessions to promote adoption (hackathons, conference presentations, etc.). - Communicate effectively with stakeholders; collaborate with clients across time zones; this is a remote role with potential rare exceptions for in-person collaboration.
Requirements - Hands-on expertise with Apache Spark. - Hands-on experience with Databricks on large-scale projects. - Databricks Certified Data Engineer Professional. - Experience designing and implementing big data technologies (Hadoop, NoSQL, MPP, OLTP, OLAP). - 5+ years as a Software Engineer or Data Engineer; strong data engineering and query/performance tuning skills in Spark and related systems. - Proficiency in Python, Scala, or Java. - Cloud experience (AWS, Azure, or GCP). - Familiarity with CI/CD, unit and integration testing, automatio
Senior Databricks Solutions Architect (Remote) – Amsterdam, Netherlands (Remote OK)
Hiflylabs is seeking a Senior Databricks Solutions Architect to shape the future of big data for top Fortune 500 clients. This customer-facing role requires extensive hands-on expertise with Apache Spark and a broad background in designing and implementing scalable Databricks-based data solutions.
What you will do - Provide post-sales technical leadership to guide strategic customers in designing and implementing big data projects, from architecture to data engineering and deployment. - Identify initiatives that translate data into actionable business value, aligned with clients' business goals. - Architect production-grade workloads and optimize end-to-end data pipelines. - Deliver tutorials and training sessions to promote adoption (hackathons, conference presentations, etc.). - Communicate effectively with stakeholders; collaborate with clients across time zones; this is a remote role with potential rare exceptions for in-person collaboration.
Requirements - Hands-on expertise with Apache Spark. - Hands-on experience with Databricks on large-scale projects. - Databricks Certified Data Engineer Professional. - Experience designing and implementing big data technologies (Hadoop, NoSQL, MPP, OLTP, OLAP). - 5+ years as a Software Engineer or Data Engineer; strong data engineering and query/performance tuning skills in Spark and related systems. - Proficiency in Python, Scala, or Java. - Cloud experience (AWS, Azure, or GCP). - Familiarity with CI/CD, unit and integration testing, automatio
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