Senior Snowflake Solutions Architect

6+ years as a hands-on Solutions Architect, DBA, or Data Engineering experience designing and implementing data solutions
2+ years hands on experience designing and building data solutions on the Snowflake Data Platform utilizing cloud technologies and solutions
Serve in a Product Owner role for our Snowflake data platform, directing and prioritizing the backlog with stakeholders
Demonstrated expertise in effectively leading and managing a team comprising Senior and Junior Infrastructure 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 stakeholders, technology partners and delivery team members across distributed teams, ensuring seamless, successful project delivery outcomes
Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration
SQL and the ability to write, debug, and optimize SQL queries
Programming expertise in Java, Python and/or Scala
Written and verbal communication skills and experience
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 or equivalent experience
Ability to work with ambiguity while collaborating with partners to drive requirements definition

Direct and prioritize the backlog with stakeholders for the Snowflake data platform
Lead and manage a team comprising Senior and Junior Infrastructure Engineers
Collaborate with stakeholders, technology partners, and delivery team members across distributed teams
Develop end-to-end technical solutions into production
Ensure performance, security, scalability, and robust data integration

Production experience in core data platforms: Snowflake, AWS Redshift, RDS Postgres
Cloud and Distributed Data Storage: S3, DynamoDB or other NoSQL storage systems
Data integration technologies: APIs, Spark, Kafka, event/streaming, Streamsets, Fivetran, AWS Data Migration Services, Informatica Intelligent Cloud Services (IICS), or other data integration technologies
Collaborate with Data Engineering, Data Management, and Data Science teams to identify data tooling gaps and inefficiencies, and partner to implement solutions for their needs
Research and experiment with data and analytics tools to stay at the forefront of technology trends
Experience with data management technologies such as Informatica IDMC Platform, Informatica CDGC Data Catalog, & Reltio Master Data Management
Strong data skills, with experience researching, implementing, and onboarding new technologies
CI/CD Cloud deployment experience, experience using Git / GitHub
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 or similar
Methodologies: Agile Project Management, Data Modeling (e.g. Data Vault, Kimball), or similar