Senior Data Engineer / Data Architect
First seen by Alion on Nov 11, 2026. ti&m scores C on the Alion truth index.
We are seeking an experienced data professional to design, build and improve scalable data platforms and analytics solutions. The role combines hands-on data engineering and architecture with business-facing collaboration.
Key responsibilities
• Design and maintain data warehouse and lakehouse architectures, dimensional data models and reliable ETL/ELT pipelines.
• Integrate data from cloud platforms, databases, APIs and enterprise systems; ensure data is accurate, well documented and fit for use.
• Build and maintain analytics and business intelligence solutions, dashboards and reporting for operational and senior stakeholders.
• Establish data quality, governance, privacy and compliance practices, and investigate root causes of data issues.
• Work with business, analytics, data science, technology and risk teams to translate needs into practical data products and roadmaps.
• Improve processes through automation, mentor colleagues and contribute to technical standards and best practices.
Requirements
• At least 8 years of experience in data engineering, data architecture, business intelligence or a related data role.
• Strong SQL skills and experience with data modelling, data warehousing and ETL/ELT development.
• Experience with cloud data platforms such as AWS or Google Cloud, and modern analytics or BI tools.
• Familiarity with Python, APIs, event or streaming data, and enterprise data sources is an advantage.
• Knowledge of data quality, governance and privacy requirements.
• Strong communication skills and the ability to work with both technical teams and business stakeholders.
• Relevant degree in data, computer science, information systems or equivalent practical experience.
Skills
Process Automation, ETL Tools, Ensuring Data Accuracy, Deliver Ongoing Business Intelligence, Data Warehouse Architectures, API Management, Governance, Root Cause Analysis, interaction with the business, Professional Mentoring, Data Quality Assurance, Data Engineering, Operational Reporting, privacy guidelines, Cloud Computing Integration, Databases