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