Senior Solutions Architect

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