Principal Solution Architect

phData

1d • Remote

About The Position

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges.
phData is a remote-first global company with employees based in the United States, Latin America, and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership, and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.
6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)
Fivetran, dbt, Atlation, and AWS Partner of the Year
#1 Partner in Snowflake Advanced Certifications
600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)
Recognized as an award-winning workplace in the US, India, and LATAM

Requirements

• 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.

Nice To Haves

• Snowflake SnowPro Core certification
• Any Snowflake Advanced Certification
• Bachelor's degree in Computer Science or a related field

Responsibilities

• Propose, design, and provision cloud-native data solutions on AWS/Azure. Leverage a 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 these solutions.
• Lead a technical team operating and managing modern data platforms - from streaming, to data lakes, to analytics, and beyond across a progressively evolving technical stack.
• Provide clear ownership of multiple simultaneous customer accounts across a variety of technical stacks as the technical leader.
• Skillfully navigate complex customer environments and build Epics, Stories, and Tasks in order to mature and improve our customers’ data platform. Delegate to and coach Engineers and ensure the successful and timely delivery of these Epics.
• Provide thought leadership by recommending the right technologies and approaches to maturing and solving problems to help ensure performance, security, scalability, and user satisfaction.
• Lead discussions and contribute to design recommendations for data model design for Data Warehouses and Data Lakes.
• Continually hunt for ways to automate, optimize, and expand our customers’ data platform and our service offering.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level