Solutions Architect, Data Integrations

E
Element451Higher Education SaaS
Work from home anywhere in the USFull-TimeMiddle
Salary not disclosed
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Job Details

Required Skills
PythonSnowflakedbt

Requirements

  • Demonstrated ability to lead client-facing projects with strong communication, leadership, and project management skills.
  • Demonstrated track record of success meeting project timelines and integrating with SIS, LMS, etc.
  • Proficiency in API endpoints, data integration, and technical troubleshooting.
  • Expertise with Zapier.
  • Expertise with Snowflake.
  • Expertise with Dagster.
  • Expertise with Python.
  • Expertise with dbt.
  • Extensive experience in data analytics, ETL processes, and data governance best practices.

Responsibilities

  • Oversee the seamless integration of Element451 with university partner systems such as Student Information Systems and Learning Management Systems.
  • Work with the Customer Success and Analysts to design and implement templates for integrating partners’ Student Information Systems (SIS), Learning Management Systems (LMS), and other platforms.
  • Act as the platform product owner for integration products, managing the roadmap and ensuring alignment with business needs.
  • Partner with engineering teams to plan, code, review/QA, and troubleshoot API integrations.
  • Build data pipelines using ETL tools and ensure efficient data transfer to the Snowflake data warehouse.
  • Develop integrations with third-party platforms like CommonApp, WebAdmit, and Zapier.
  • Design and implement data mappings, schemas, and quality assurance tests to ensure data accuracy and reliability.
  • Optimize workflows using tools like Dagster for pipeline orchestration.
  • Serve as a subject matter expert (SME) for the Partnerships, Sales, and Customer Success teams, providing technical expertise on integrations.
  • Interface and communicate with clients during implementations to provide support and troubleshoot technical challenges.
  • Lead and maintain integration support throughout the customer lifecycle for managed API partners.
  • Maintain thorough documentation of integrations and APIs for internal and external audiences.
  • Lead the development and execution of a machine learning and AI strategy.
  • Assist with security policies and compliance requirements, including SOC Type 2.
  • Advocate for the integrations team during sprint planning to ensure alignment with organizational goals.
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