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Senior Solutions Architect phData. Required Experience:. 6+ years as a . hands-on. Solutions Architect and/or Data Engineer designing and implementing data solutions. 2+ years of consulting experience managing projects for external customers.. Demonstrated expertise in effectively leading and managing a team comprising Senior and Junior Data Engineers, fostering internal growth through coaching, mentoring, and performance management.. Ability to multitask, prioritize, and work across multiple projects at once.. Proven track record of collaborating with client stakeholders, technology partners, and cross-functional sales and delivery team members across distributed global teams, ensuring seamless, successful project delivery outcomes.. Exhibits a strong sense of ownership in resolving challenges, committed to ensuring exceptional outcomes for all aspects of project execution and delivery.. Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration.. Programming expertise in . Java, Python and/or Scala . Core cloud data platforms including. Snowflake, AWS, Azure, Databricks . and. GCP. SQL. and the ability to write, debug, and optimize . SQL queries. Client-facing written and verbal communication skills and experience. Create and deliver detailed presentations . Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.). 4-year Bachelor's degree in Computer Science or a related field. Prefer any of the following: . Production experience in core data platforms:. Snowflake, AWS, Azure, GCP, Hadoop, Databricks. Cloud and Distributed Data Storage: . S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems. 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. Multiple data sources:. (e.g. queues, relational databases, files, search, API). Complete software development lifecycle experience: . including design, documentation, implementation, testing, and deployment. Automated data transformation and data curation: . dbt. ,. Spark, Spark streaming, automated pipelines. Workflow Management and Orchestration:. Airflow, AWS Managed Airflow, Luigi, NiFi. Methodologies: . Agile Project Management, Data Modeling (e.g. Data Vault, Kimball). Why phData? We offer:. Remote-First Work Environment . Casual, award-winning small-business work environment. Collaborative culture that prizes autonomy, creativity, and transparency. Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks). Accelerated learning and professional development through advanced training and certifications