Talent Mentorship & Career Guidance: Lead, coach, and support the career progression of data engineers, BI consultants, and solution architects within the Fabric practice.
Competency Growth & Skills Strategy: Identify technical gaps across the team, design internal upskilling initiatives, build certification tracks (e.g., Microsoft DP-600), and facilitate structured knowledge sharing.
Talent Acquisition & Onboarding: Partner actively with talent acquisition teams to interview, select, and integrate top-tier data professionals.
Inclusive Culture Building: Cultivate a collaborative, psychological safety-oriented work environment grounded in continuous learning and cross-functional synergy.

Engineering Standards & Governance: Define, maintain, and enforce technical delivery benchmarks, architectural blueprints, and coding best practices for Microsoft Fabric deployment (Lakehouse, Warehouse, semantic modelling, and data pipelines).
Quality Assurance & Architectural Audits: Perform structured code reviews and architectural assessments on business-critical client engagements to ensure performance, scalability, and security.
Technology Evolution & AI Integration: Monitor emerging trends in cloud analytics, generative AI, and modern data platforms to continuously refine and modernise the practice offering.

Strategic Business Partnership: Conduct interactive discovery sessions and strategic technology workshops for executive leadership (C-level) and key enterprise stakeholders.
Presales Engineering & Solution Design: Translate complex business requirements into robust technical architectures, author technical proposals, estimate scope of work, and present value propositions during deal cycles.
Expectation Management & Stakeholder Alignment: Serve as an authoritative subject matter expert to negotiate solution boundaries, resolve technical trade-offs, and articulate tangible business outcomes.

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Senior AI Engineer (Generative AI Focus)