Future Opportunity - Solutions Architect (Managed Services) Apply Here

| US | Remote
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phData is revolutionizing how our clients use data and artificial intelligence. As the premier services provider specializing in data application and data platform services, we partner with the leading technology companies across the modern data stack to deliver cutting-edge solutions. We are technology evangelists around critical ecosystem tools like Snowflake, AWS, Azure, dbt, Sigma, Tableau, and Power BI. We are passionate about helping global enterprises overcome their toughest challenges by building AI solutions and data applications and then getting these solutions into production.
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.

  • 4x Snowflake Partner of the Year (2020, 2021, 2022, 2023) 
  • Fivetran, dbt, Atlation, Matillion 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 US, India and LATAM
  • Inc 5000 Fastest Growing US Companies (2020-2023)

Unlock future opportunities at phData, where innovation meets data excellence. At phData we’re always on the lookout for top talent and we're committed to expanding our network of skilled professionals. As our requirements evolve, we encourage you to apply and submit your resume here, even if there's no role available at the moment. Your information will be added to our system, and we'll notify you of relevant opportunities as they become available if you are a fit.
Responsibilities:

  • Operate and manage modern data platforms - from streaming, to data lakes, to analytics, and beyond across a progressively evolving technical stack.
  • Demonstrate clear ownership of multiple simultaneous customer accounts across a variety of technical stacks and act as a technical leader. 
  • Proactively identify and articulate best practices and improvements to customers on how to best leverage their Cloud Data Platform. 
  • 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.
  • Continually hunt for ways to automate and optimize existing processes.

Required Experience:

  • Strong working knowledge of SQL and the ability to write, debug, and optimize SQL queries
  • Extensive experience in providing architectural guidance and operational support across a large user base for a cloud-native data warehouse (Snowflake and/or Redshift)
  • Expertise with cloud-native data technologies in AWS or Azure
  • Production support experience in large enterprise environment supporting cloud data platforms and a variety of cloud data technologies (AWS Services/S3, Aurora Athena Redshift, Sagemaker, Azure DevOps/SQL, Azure Data Factory, etc.....
  • Proven experience learning new technology stacks and training team members
  • Professional track record of creating, challenging, and improving processes and procedures
  • Strong troubleshooting and performance tuning skills including database administration
  • Create and deliver detailed presentations
  • Client-facing written and verbal communication skills and experience

Preferred Experience: 

  • Production / database administration experience and certifications in core data platforms such as Snowflake, AWS, Azure, GCP, Hadoop, or Databricks
  • Production experience working with Cloud and Distributed Data Storage technologies such as S3, ADLS, HDFS, GCS, 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 Google DataProc or others
  • Production experience working with Workflow Management and Orchestration such as Airflow, AWS Managed Airflow, Luigi, NiFi
  • Working experience with infrastructure as code using Terraform or Cloud Formation
  • Strong expertise of scripting language to automate repetitive tasks (preferred Python)
  • Well versed with continuous integration and deployment frameworks with hands-on experience using CI/CD tools like Bitbucket, Github, Flyway, Liquibase
  • Experience as a technical team lead
  • Bachelor's degree in Computer Science or a related field 

#LI-DNI



phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

More Information on phData
phData operates in the Information Technology industry. The company is located in Minneapolis, MN. phData was founded in 2014. It has 202 total employees. It offers perks and benefits such as Flexible Spending Account (FSA), Disability insurance, Dental insurance, Vision insurance, Health insurance and Life insurance. To see all 14 open jobs at phData, click here.
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