Principal Solution Architect

Advanced Data Platform expertise in enterprise data platforms such as Snowflake, AWS, Azure, or Databricks. Extensive experience in providing architectural and operational guidance across a large user base for a cloud-native data warehouse (Snowflake and/or Redshift). Production experience working with Cloud and Distributed Data Storage technologies such as S3, ADLS, Cassandra or other NoSQL storage systems. Production experience working with Data integration technologies such as Spark, Kafka, event/streaming, Matillion, Fivetran, HVR, AWS Data Migration Services, Azure DataFactory or others. Production experience working with Workflow Management and Orchestration, such as Airflow, AWS Managed Airflow, and Luigi. Strong working knowledge of SQL and the ability to write, debug, and optimize SQL queries. Deep expertise with cloud-native data technologies in AWS or Azure. Extensive experience with infrastructure as code using Terraform or CloudFormation. Experience building automated solutions for repetitive administrative tasks using Python or a similar language. Well-versed with continuous integration and deployment frameworks with hands-on experience using CI/CD tools like Bitbucket, Github, Flyway, and Liquibase. Professional track record of creating, challenging, and improving processes and procedures. Unmatched troubleshooting and performance tuning skills. Proven experience as a technical team lead and mentor of engineers. Passion for learning new technology stacks and up-skilling/training team members. Create and deliver detailed technical presentations for an executive audience. Excellent client-facing written and verbal communication skills and experience.

Propose, design, and provision cloud-native data solutions on AWS/Azure. Leverage deep understanding of Snowflake, IAM, S3, EC2, Kinesis, Sagemaker, Airflow, Kafka, Azure Data Factory, ADLS, Fivetran, Matillion, DBT, and/or other services and tools in designing and enhancing solutions. Lead a technical team operating and managing modern data platforms. Provide clear ownership of multiple simultaneous customer accounts. Navigate complex customer environments and build Epics, Stories, and Tasks. Delegate to and coach Engineers. Provide thought leadership by recommending the right technologies and approaches. Lead discussions and contribute to design recommendations for data model design. Hunt for ways to automate, optimize, and expand data platforms and service offerings.