Solutions Architect

Summary

Join phData, a leading innovator in the modern data stack, partnering with major cloud data platforms. We are a remote-first global company committed to helping global enterprises overcome their toughest data challenges. We offer a casual, exciting work environment with autonomy for top performers. We've received multiple awards and recognitions for our workplace culture and technological expertise. As a Solutions Architect/Data Engineer, you will design and implement data solutions, lead teams, and mentor other engineers. The role requires extensive experience in cloud data platforms, programming languages, and data integration technologies. phData provides competitive compensation, excellent benefits, generous PTO, and opportunities for professional development.

Requirements

• Demonstrate programming expertise in Java, Python, and/or Scala
• Show proficiency in core cloud data platforms, including Snowflake, AWS, Azure, Databricks, and GCP
• Write, debug, and optimize SQL queries
• Possess strong client-facing written and verbal communication skills and experience
• Create and deliver detailed presentations
• Produce detailed solution documentation (e.g., POCs, roadmaps, sequence diagrams, class hierarchies, logical system views)
• Hold a 4-year Bachelor's degree in Computer Science or a related field

Responsibilities

• Serve as a hands-on Solutions Architect and/or Data Engineer, designing and implementing data solutions
• Lead and mentor other engineers
• Develop end-to-end technical solutions into production, ensuring performance, security, scalability, and robust data integration

Preferred Qualifications

• Possess production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks
• Demonstrate experience with Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems
• Show expertise in data integration technologies: Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc, or other data integration technologies
• Have experience with multiple data sources (e.g., queues, relational databases, files, search, API)
• Possess complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment
• Demonstrate experience with automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines
• Show experience with Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi

Benefits

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