Join phData, a dynamic and innovative leader in the modern data stack, as a Sr. Machine Learning Solutions Architect to lead the architecture and implementation of production-grade machine learning and data solutions for enterprise clients.
Requirements
- 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer building and deploying production data and machine learning solutions.
- Hands-on expertise in modern programming languages such as Python, Scala, Java, or similar.
- Experience building and operating robust data pipelines and distributed data processing solutions using SQL and big data technologies (e.g., Spark, Snowflake, Databricks, Redshift, Amazon EMR, HDFS).
- Strong systems-level knowledge of network and cloud architecture, Linux-based operating systems, and data/storage platforms (e.g., AWS, Databricks, Cloudera), with familiarity across data and messaging systems such as JMS, Kafka, RDBMS, data warehouses, MySQL, Oracle, and SAP;
- Strong working knowledge of SQL and the ability to write, debug, and optimize complex and distributed queries.
- Hands-on experience with one or more big data ecosystem products and languages such as Spark, Snowflake, Databricks, etc.
- Production experience in core data technologies and platforms (e.g., Spark, HDFS, Snowflake, Databricks, Redshift, Amazon EMR).
- Complete software development lifecycle experience, including design, documentation, implementation, testing, deployment, and ongoing operations.
- Excellent communication and presentation skills, with previous experience working directly with internal or external customers.
- Experience delivering projects for external or internal clients in a professional services or consulting environment.
- Ability to break down complex problems into structured, actionable steps and drive them through to completion.
Benefits
- Remote-First Work Environment
- Casual, award-winning small-business work environment
- Collaborative culture that prizes autonomy, creativity, and transparency
- Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
- Accelerated learning and professional development through advanced training and certifications
