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Principal Solution Architect - Managed Services

phData

Full-time
USA
python
sql
aws
azure
cloud
Apply for this position

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.

Required Experience:

  • 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.

Preferred Experience: 

  • Snowflake SnowPro Core certification

  • Any Snowflake Advanced Certification

  • Bachelor's degree in Computer Science or a related field 

Ideal opportunity if you enjoy…

  • Seeing the big picture. You recognize that data challenges are multifaceted, and you understand the technical, business, operational, and human issues at play. 

  • Fast-paced operations work. You get energized by working across multiple projects and customers at once as requirements and situations evolve. 

  • Solving complex problems. You’re eager to take on big issues that have stumped some of the world’s biggest companies. 

  • Venturing boldly into uncharted territory. When facing a problem you haven’t seen before, you enjoy the challenge of navigating through rocky terrain to build an ideal solution. 

  • Working across technology stacks and organizational silos. You’ve seen what happens when people get stuck in one platform, application, or way of thinking. You can integrate disparate functions and technologies to make your solutions work.    

  • Thinking on your feet. You don’t get rattled by the unexpected. You quickly assess the situation and formulate a plan of action.

  • Following up and following through. Not only can you envision the solution, you can break it into actionable steps and keep pushing toward the final outcome, no matter what gets in the way. 

  • Managing the human side. You’ve got the presence and poise to work confidently and respectfully with your teammates, your customers, and more—even when it’s time for difficult conversations.

  • Collaborating with others. Being yourself. You value an environment where it’s safe to ask questions, take calculated risks, and be authentic. You support your teammates and expect others to do the same.

Apply for this position
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About the job

Full-time
USA
Posted 9 hours ago
python
sql
aws
azure
cloud

Apply for this position

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Principal Solution Architect - Managed Services

phData

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.

Required Experience:

  • 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.

Preferred Experience: 

  • Snowflake SnowPro Core certification

  • Any Snowflake Advanced Certification

  • Bachelor's degree in Computer Science or a related field 

Ideal opportunity if you enjoy…

  • Seeing the big picture. You recognize that data challenges are multifaceted, and you understand the technical, business, operational, and human issues at play. 

  • Fast-paced operations work. You get energized by working across multiple projects and customers at once as requirements and situations evolve. 

  • Solving complex problems. You’re eager to take on big issues that have stumped some of the world’s biggest companies. 

  • Venturing boldly into uncharted territory. When facing a problem you haven’t seen before, you enjoy the challenge of navigating through rocky terrain to build an ideal solution. 

  • Working across technology stacks and organizational silos. You’ve seen what happens when people get stuck in one platform, application, or way of thinking. You can integrate disparate functions and technologies to make your solutions work.    

  • Thinking on your feet. You don’t get rattled by the unexpected. You quickly assess the situation and formulate a plan of action.

  • Following up and following through. Not only can you envision the solution, you can break it into actionable steps and keep pushing toward the final outcome, no matter what gets in the way. 

  • Managing the human side. You’ve got the presence and poise to work confidently and respectfully with your teammates, your customers, and more—even when it’s time for difficult conversations.

  • Collaborating with others. Being yourself. You value an environment where it’s safe to ask questions, take calculated risks, and be authentic. You support your teammates and expect others to do the same.

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