Data Architect
Listed on 2025-12-22
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IT/Tech
Data Engineer
2 days ago Be among the first 25 applicants
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EdPlus at Arizona State University provided pay rangeThis range is provided by EdPlus at Arizona State University. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$90,000.00/yr - $/yr
Are you passionate about building resilient, scalable data platforms that support strategic decision‑making? Do you have a track record of delivering modern, cloud‑native data architectures? At EdPlus Action Lab, we’re reimagining what educational analytics can be, so keep reading below for this Staff Data Architect opportunity!
EdPlus at ASU is a dynamic unit of Arizona State University focused on the design and scalable delivery of digital teaching and learning models to increase student success and reduce barriers to achievement in higher education. We advance the economic, social, cultural, and overall health of the local, national, and international communities served by ASU.
Want to know more about working at EdPlus? !
Action Lab is a data‑driven, research‑focused service organization—an impact hub that supports ASU and EdPlus initiatives by equipping leaders with the insights and analyses they need to make informed, evidence‑based decisions. Action Lab drives transformational change in education through data and research, focusing on learner behaviors and the factors that drive success. Our goal is to enhance access and achievement while fostering the development of high‑quality education for all learners.
We are seeking a highly motivated Staff Data Architect to join our dynamic Action Lab team. Every day you’ll make a difference in the lives of others by being at the forefront of educational transformation, leveraging cutting‑edge technologies such as AWS and GCP to design and optimize robust data pipelines. You’ll guide projects from conception to deployment, driving decisions that will directly shape how Action Lab operationalizes and implements ETL processes and other data integrations.
As a Staff Data Architect, you will play a pivotal role in operationalizing Action Lab’s data strategy. You will define and lead scalable architectural solutions that enable efficient data ingestion, transformation, quality assurance, and analytics across AWS and GCP environments. You’ll guide our transition from legacy ETL systems to modern, event‑driven, modular, CI/CD‑enabled analytics engineering pipelines. Your work will ensure our data assets are trusted, testable, and traceable
, empowering ASU leaders to make evidence‑based decisions that enhance student success.
- Lead the design, architecture, and implementation of highly complex and scalable data pipelines and ETL processes using dbt‑core and Apache Airflow, demonstrating deep expertise in these tools.
- Serve as a technical lead and subject matter expert in multiple areas of data engineering, including data modeling, performance optimization, and cloud infrastructure (AWS, GCP).
- Contribute as a key developer in extending new platform capabilities while ensuring the stability and maintainability of existing codebases.
- Exercise significant control over major data engineering projects, taking direct responsibility for their success and outcomes.
- May lead working teams by providing technical direction, guidance, and mentorship to both senior and junior data engineers.
- Design, define, and hone new processes, best practices, and technical standards for the data engineering team and other Action Lab members.
- Troubleshoot and resolve the most challenging data‑related issues, developing innovative solutions and strategies.
- Drive significant influence on stakeholders across EdPlus and Action Lab, effectively communicating complex technical concepts and project strategies to both technical and non‑technical audiences.
- Introduce new technologies, processes, and knowledge sharing initiatives to the whole Action Lab team.
- Develop and implement advanced strategies for data quality, governance, and security, ensuring the reliability and integrity of data across all platforms (AWS Redshift, S3, GCP Big Query, GCS).
- Evaluat…
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