Senior Fabric Data Architect
First seen by Alion on Sep 15, 2026.
What the customer needs :
A senior-level architect who can own the big-picture view of the customer's Microsoft Fabric platform not hands-on pipeline building but planning and oversight across multiple teams and projects.
Key responsibilities in plain terms :
1. Own and maintain the overall Fabric roadmap :
- What gets built, in what order, and why
2. Manage the backlog of pending work across all Fabric workstreams/projects :
- Prioritize, organize, and keep it clean
3. Identify and address technical debt :
- Older or quick-fix solutions that need to be cleaned up or redesigned properly
4. Coordinate across multiple project teams :
- Make sure their work doesn't conflict and dependencies are managed (e.g., if Team A's work depends on Team B finishing something first)
Ideal candidate profile :
5. Senior Fabric expert :
- Architect-level, not just a developer, with experience across multiple Fabric projects, not just one
6. Strong at big-picture planning, prioritization, and stakeholder communication :
- Not just technical build
7. Comfortable working across teams and managing dependencies between projects :
- Ability to navigate complex organizational structures
8. Prior experience owning a roadmap or leading architecture decisions at an enterprise level :
- Proven track record of high-level technical leadership
Required Skillset :
- Demonstrated expertise in designing and deploying complex data architectures within Microsoft Fabric and the broader Azure ecosystem.
- Advanced proficiency in Python and SQL for building sophisticated data processing pipelines and complex analytical models.
- Strong background in data engineering principles, including ETL/ELT design, data modeling, and performance tuning of distributed systems.
- Exceptional communication skills with the ability to articulate complex technical strategies to non-technical stakeholders and C-suite executives.
- Proven ability to lead large-scale technical projects, managing stakeholder expectations while maintaining rigorous delivery timelines.
- A minimum of 15 to 20 years of experience in data engineering and architectural roles, with a track record of delivering high-impact solutions.
Skills
Data Architect, Python, SQL, Azure, ETL, Data Modeling, Data Engineering