North Labs LLC Principal Data Solutions Architect Remote · Full time

The Principal Data Solutions Architect at North Labs is responsible for technical deployments and providing the technical expertise to make North Labs’ customers successful.


This person will have a broad range of skills and experience ranging from data architecture to ETL, security, performance analysis, analytics, etc. Ideal candidates will have the insight to make connections between a customer’s specific business problems and best-case solutions.  Customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation.  


  • Be a technical expert on all aspects of the North Labs prescribed data stack: Snowflake, Matillion, fivetran, dbt, etc.
  • Serve as a technical lead on our most demanding, cross-functional customer projects
  • Ensure the quality of architecture and design of systems
  • Functionally decompose complex problems into simple, straight-forward solutions
  • Lead technical and design discussions with IT executives to help enterprises speed their adoption of new technologies and practices
  • Ensure relevant technical strategies, policies, standards and best practices are applied correctly across technology programs/projects and products
  • A Principal Architect can work across multiple projects with varied stakeholders.  He/she sets architectural direction, builds consensus, mediates conflicts providing technical leadership and advisory services to the business. He/she anticipates needs and potential objections and helps to create an environment which solicits positive contributions from all participants: engineering teams, sales team, and delivery teams. 
  • Has excellent interpersonal communication and organizational skills that are required to operate as a leading member of global, distributed teams that deliver quality services and solutions
  • Guides others in resolving complex issues in solution architecture and solves complex, escalated aspects of a project.
  • Work hands-on with customers to demonstrate and communicate implementation best practices on deployed technology
  • Maintain deep understanding of competitive and complementary technologies and vendors and how to position our prescribed data analytics stack in relation to them
  • Providing thought leadership by recommending the right technologies and solutions for a given use case, from the application layer to infrastructure; and have the team leadership and technical skills to get their solutions into production — while helping to ensure performance, security, scalability, and robust data integration
  • Provide guidance on how to resolve customer-specific technical challenges
  • Support other members of the Professional Services team develop their expertise

Who we are looking for:

  • Experience working with customers in a post-sales technical role
  • Experience as a technical team lead, and/or mentorship of other engineers 
  • University degree in computer science, engineering, mathematics or related fields, or equivalent experience
  • Proven client-facing written and verbal communication skills presenting to both technical and executive audiences
  • Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
  • Strong skills in databases, data warehouses, and data processing
  • Extensive hands-on expertise with SQL and SQL analytics
  • Detailed solution documentation (e.g. sequence diagrams, class hierarchies, logical system views, etc.)
  • Ability and flexibility to occasionally travel to work with customers on-site.

Preferred skills:

  • Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau)
  • Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack, etc.)
  • Experience implementing ETL pipelines using custom and packaged tools
  • Experience using AWS services such as S3, Kinesis, Elastic MapReduce, Data pipeline
  • Experience with Python 
  • AWS Certified Data Analytics - Speciality


$165,000 - $215,000 per year