Machine Learning Principal Solutions Architect

Yesterday

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Logo of phData

phData

Spark β€’ Impala β€’ Kafka β€’ Kudu β€’ Scala

201 - 500 employees

Founded 2014

πŸ€– Artificial Intelligence

☁️ SaaS

🏒 Enterprise

πŸ’° $2.5M Seed Round on 2018-03

Description

β€’ Join phData, a leader in the modern data stack, and tackle data challenges. β€’ Remote-first global company fostering culture, curiosity and trust. β€’ Principal Solutions Architects drive delivery excellence and customer success. β€’ Collaborate with Sales, enhance consulting quality, and combine technical expertise with client engagement. β€’ Responsible for designing data solutions, providing thought leadership, and ensuring performance across technical stacks. β€’ Engage with data scientists to reveal actionable insights from data and ensure model deployability.

Requirements

β€’ 8+ years as a hands-on Solutions Architect designing and implementing complex data platforms and solutions β€’ 2+ years previous Consulting leadership experience leading projects, expanding customer relationships and ensuring delivery lead growth β€’ At least 6 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer β€’ 4-year Bachelor's degree in Computer Science or a related field β€’ Experience deploying machine learning models in a production setting β€’ Expertise in Python, Scala, Java, or another modern programming language β€’ The ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets β€’ Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries β€’ Hands-on experience in one or more big data ecosystem products/languages such as Spark, Snowflake, Databricks, etc. β€’ Familiarity with multiple data sources (e.g. JMS, Kafka, RDBMS, DWH, MySQL, Oracle, SAP) β€’ Systems-level knowledge in network/cloud architecture, operating systems (e.g., Linux), and storage systems (e.g., AWS, Databricks, Cloudera) β€’ Production experience in core data technologies (e.g. Spark, HDFS, Snowflake, Databricks, Redshift, & Amazon EMR) β€’ Development of APIs and web server applications (e.g. Flask, Django, Spring) β€’ Complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment β€’ Excellent communication and presentation skills; previous experience working with internal or external customers

Benefits

β€’ Remote-First Work Environment β€’ Casual, award-winning small-business work environment β€’ Collaborative culture that prizes autonomy, creativity, and transparency β€’ Competitive comp, excellent benefits, 4 weeks PTO plus 10 Holidays (and other cool perks) β€’ Accelerated learning and professional development through advanced training and certifications

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