Principal Solutions Architect

Principal Solutions Architect (Elastic Operations)

phData works exclusively in the realm of data and machine learning. By partnering with the biggest cloud data platforms (Snowflake, AWS, dbt, Fivetran), we’re able to help the world’s largest companies solve their toughest challenges.

Our work is challenging and our standards are high, but we invest heavily in our employees, starting with a 2-4 week bootcamp to ensure your success. Plus, you’ll get to work with the brightest minds in the industry and the best in class platforms on the market. And, because the data and ML industry is changing rapidly, you will always have the opportunity to learn - whether that’s a new technology, diving deeper into your preferred stack, or picking up an entirely new skill set.

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. Our award winning workplace fosters learning, creativity, teamwork and diversity.

• 2022 Snowflake Partner of the Year
• 2022 Best Places to Work
• Best Places to Work (2017, 2018, 2019, 2020, 2021)
• Inc. 5000 Fastest Growing US Companies (2019, 2020, 2021)
• Minneapolis/St. Paul Business Journal’s Fast 50 (2021)
• Snowflake Elite, Snowpark Accelerated & Snowflake Partner of the Year (2020 & 2021)

As a Principal Solutions Architect on our Managed Services team, you will be responsible for scoping and leading teams to deliver large-scale, complex data platform and infrastructure projects running on Snowflake and other native cloud platform services in AWS and Azure. In addition you will need the ability to learn and quickly upskill on data ecosystem technologies related to data ingestion, data migration, platform design, and architecture, with some exposure to data visualization. 

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 customer’s data platform.  Delegate to and coach Engineers and ensure 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 customer’s data platform and our service offering.

Required Experience:

• Production support of enterprise data platforms such as Snowflake, AWS, Azure, or Databricks.
• Extensive experience in providing architectural guidance and operational support across a large user base for a cloud-native data warehouse (Snowflake and/or Redshift) with a background in Systems Engineering, DevOps, DBA or Data Architect
• Production experience working with Cloud and Distributed Data Storage technologies such as S3, ADLS, HDFS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems.
• Production experience working with Data integration technologies such as Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, HVR, NiFi, AWS Data Migration Services, Azure DataFactory or others.
• Production experience working with Workflow Management and Orchestration such as Airflow, AWS Managed Airflow, Luigi, NiFi.
• 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. 
• 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 mentorship of engineers.
• Passion for learning new technology stacks and up-skill/training team members.
• Create and deliver detailed technical presentations for an executive audience. 
• Excellent client-facing written and verbal communication skills and experience.

Preferred Experience: 

• Extensive experience with infrastructure as code using Terraform or Cloud Formation.
• Proven expertise using Python to build automated solutions for repetitive support tasks.
• Well versed with continuous integration and deployment frameworks with hands-on experience using CI/CD tools like Bitbucket, Github, Flyway, Liquibase. 
• Snowflake SnowPro Core certification
• Bachelor's degree in Computer Science or a related field

​​Perks and Benefits:

• Medical Insurance for Self & Family
• Medical Insurance for Parents
• Term Life & Personal Accident
• Wellness Allowance
• Broadband Reimbursement
• Professional Development Allowance
• Reimbursement of Skill Upgrade Certifications
• Certification Reimbursement 

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