Principal, Applied AI (Technical Consulting)

What You’ll Do:

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Lead and shape data-driven AI transformations
• Partner with executives and data leaders to design modern, AI-enabled data strategies and architectures.
• Lead discovery sessions to evaluate legacy ecosystems, define transformation paths, and design scalable, compliant data platforms.
• Help clients move to real-time, intelligent, and cloud-native environments that serve both operational and AI use cases.


Design and build AI-ready data platforms
• Architect modern data ecosystems using cloud technologies such as Databricks, Snowflake, BigQuery, and Redshift.
• Integrate AI and automation throughout the data lifecycle, from ingestion and transformation to observability and optimisation.
• Prototype self-optimising, self-healing, and AI-assisted data pipelines that accelerate time-to-insight.
• Build governance, privacy, and compliance directly into the architecture, ensuring platforms are both innovative and trustworthy.


Advance Symphony’s data and AI capability
• Shape Symphony’s approach to intelligent data platforms and AI-enabled engineering, creating reusable patterns and accelerators.
• Mentor teams on data modernisation, AI-driven automation, and data mesh principles.
• Collaborate closely with peers in AI, product, and engineering to deliver unified platform solutions.
• Represent Symphony as a trusted, forward-thinking partner helping clients modernise safely and intelligently.

You’ll Bring:

• 12+ years in data engineering, platform architecture, or modernisation roles, including enterprise-scale transformations.
• Deep experience with cloud data stacks (Databricks, Snowflake, BigQuery, Azure Synapse, Redshift, etc.).
• Strong understanding of data governance, lineage, and compliance frameworks across global environments.
• Hands-on expertise embedding AI or automation into the data lifecycle, discovery, transformation, quality, and observability.
• Experience with infrastructure-as-code, orchestration tools, and CI/CD for data.
• Excellent communication skills, able to engage engineers, data scientists, and C-suite stakeholders alike.A builder’s mindset, experimental, pragmatic, and focused on impact.

You’ll Thrive Here If You:

• Believe data platforms should think for themselves, adaptive, automated, and AI-ready.
• Think strategically but enjoy solving deep technical challenges.
• Want to push the boundaries of how data powers AI products and decisions.
• Care about building secure, modern data systems that are as elegant as they are effective.
• Enjoy working with curious, driven teams who like to build what others only talk about.