Data Architect
Ascend Learning · Leawood, KS · 2 wk ago
EngineeringFull-time
About the role
We Impact Lives Through Purpose-Driven Work in A People First Culture
Ascend Learning, a leading healthcare and learning technology company, is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes-based, data-driven solutions across the lifecycle of learning.
Responsibilities
- Design and deliver scalable, high-performance data solutions aligned to business objectives and internal client needs.
- Lead data architecture strategy, modernize platforms, and ensure data systems are secure, reliable, and future-ready.
- Design and maintain scalable data pipelines and integrations across systems using APIs and data tools.
- Implement DataOps/DevOps practices and automation to streamline and operationalize data workflows.
- Partner with business and technical stakeholders to define data strategies and deliver aligned solutions.
- Own architectural decisions and ensure quality, performance, and successful delivery of data initiatives.
- Build strong relationships across BI, product, engineering, and business teams.
- Provide technical leadership and mentorship to data teams.
- Enforce standards for security, compliance, performance, and cost management.
- Stay current with emerging technologies, including AI/ML, and incorporate innovations where appropriate.
Requirements
- High school diploma or GED required. Bachelor’s degree in technology related field or equivalent work experience preferred.
- 6+ years’ experience with modern data platforms (e.g., SQL Server, Snowflake, Databricks, Azure Synapse/Fabric, Amazon Redshift).
- Strong expertise in data architecture, modeling (ERDs, dimensional modeling), and data integration across systems.
- Proficiency with data pipelines and transformation tools (e.g., Azure Data Factory, Coalesce, Snowpipe) and version control (e.g., GitLab).
- Experience with BI and analytics tools (e.g., Tableau, Python, R) and advanced analytics techniques.
- Familiarity with DataOps/DevOps practices and automation tools (e.g., Terraform, ARM).
- Knowledge of Agile/Scrum methodologies and tools (e.g., JIRA, Confluence).
- Strong leadership, communication, and stakeholder management skills; experience working with cross-functional and distributed teams.
- Understanding of data governance, security, and best practices.
- Experience with AI/ML and familiarity with modern AI platforms (e.g., Azure ML, Copilot, Claude, OpenAI) is preferred.
Benefits
- Flexible and generous paid time off
- Competitive medical, dental, vision and life insurance
- 401(k) employer matching program
- Parental leave
- Wellness resources
- Charitable matching program
- On-site workout facilities (Leawood, Gilbert, Burlington)
- Community outreach groups
- Tuition reimbursement
Pay
N/A
Schedule
Hybrid schedule from our office location in Leawood, KS.