Senior Data Solutions Architect
September 20
Description
• Lead high-impact customer engagements focused on Databricks Data Platform solutions. • Define and drive technical strategies that align Databricks capabilities with customer objectives. • Architect scalable, secure, and reliable Databricks on AWS platforms, integrating with other AWS services and open-source technologies. • Provide technical expertise during the pre-sales process, assisting with RFPs/RFIs and creating solution architectures. • Oversee end-to-end implementation of data platforms, collaborating with cross-functional teams. • Conduct POCs and technical demos to demonstrate Databricks capabilities. • Build relationships with customer stakeholders, acting as a trusted advisor on data platform initiatives. • Promote best practices in data governance, pipelines, and platform architecture. • Mentor junior team members and contribute to knowledge-sharing efforts. • Stay current on Databricks and cloud technology advancements.
Requirements
• Experience in data solution architecture. • Proven experience in designing and implementing large-scale data engineering solutions on AWS. • Deep expertise in the Databricks platform. • Strong knowledge of AWS services such as S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS. • Proficient in programming languages like Python, SQL, and Scala. • Experience with data warehousing, ETL processes, and real-time data streaming. • Familiarity with open-source technologies and tools commonly used in data engineering. • Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders. • Strong leadership and project management skills. • Ability to work collaboratively in a cross-functional team environment.
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