Senior Fabric Data Architect

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.