Solutions Architect

Summary

Join phData, a leading innovator in the modern data stack, partnering with major cloud platforms. We're a remote-first global company committed to helping enterprises solve complex data challenges. We offer a casual, exciting work environment with autonomy for top performers. We've received multiple awards and boast a strong commitment to diversity and inclusion. This Solutions Architect/Data Engineer role requires extensive experience and expertise in cloud data platforms and data solutions. We offer competitive compensation, excellent benefits, and generous PTO.

Requirements

• 8+ years of experience as a hands-on Solutions Architect and/or Data Engineer
• Programming expertise in Java, Python, and/or Scala
• Experience with core cloud data platforms including Snowflake, AWS, Azure, Databricks, and GCP
• Proficiency in SQL, including writing, debugging, and optimizing queries
• Client-facing written and verbal communication skills and experience
• 4-year Bachelor's degree in Computer Science or a related field

Responsibilities

• Design and implement data solutions
• Lead and/or mentor other engineers
• Develop end-to-end technical solutions into production, ensuring performance, security, scalability, and robust data integration
• Create and deliver detailed presentations
• Develop detailed solution documentation (e.g., POCs and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)

Preferred Qualifications

• Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks
• Experience with Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems
• Experience with 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
• Experience with Multiple data sources (e.g., queues, relational databases, files, search, API)
• Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment
• Experience with Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines
• 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 compensation, excellent benefits, generous weeks PTO plus 10 Holidays (and other cool perks)
• Accelerated learning and professional development through advanced training and certifications