We are seeking a Data & AI Platform Architect to design and implement enterprise-grade platforms that enable advanced analytics, AI-driven insights, and modern data strategies. This role focuses on building scalable, cloud-native data platforms integrating AI, machine learning, and predictive analytics to empower business units with actionable insights and innovation at scale, while maintaining BI as a supporting component.
Key Responsibilities
Platform Architecture: Design and implement unified data platforms combining AI, advanced analytics, and BI capabilities.
Strategic Roadmap: Define and execute a forward-looking platform strategy for AI adoption and analytics modernisation.
Technology Evaluation: Assess emerging AI frameworks (TensorFlow, PyTorch), data platforms (Snowflake, Databricks, Dremio), and BI tools (Power BI, Tableau) using market research (including Gartner insights).
Cloud Integration: Architect solutions leveraging Azure tools for data and AI workloads.
Innovation & Prototyping: Deliver rapid proof-of-concepts (POCs) and prototypes for AI-driven analytics solutions, including Generative AI and LLM-based use cases.
Governance & Standards: Establish best practices for scalability, security, compliance, and implement data governance, lineage, and observability frameworks.
Leadership Communication: Prepare strategic presentations for leadership showcasing platform capabilities and roadmap.
Mentorship: Guide team members in AI, data engineering, and BI integration, fostering technical excellence.
Required Skills
Experience: 10+ years in data architecture, analytics platforms, and AI strategy.
AI & Advanced Analytics: Hands-on experience with ML frameworks (TensorFlow, PyTorch), predictive analytics, and AI services.
Platform Expertise: Knowledge of Dremio, CEPH S3, Databricks, Lakehouse architectures, and orchestration tools (Airflow, Prefect).
BI Integration: Familiarity with ETL tools and BI tools (Power BI, Tableau) for reporting within modern data platforms.
Cloud Proficiency: Deep experience with Azure for AI and analytics workloads.
Strategic Influence: Exceptional stakeholder management and presentation skills.
Innovation: Proven ability to deliver prototypes and drive adoption of emerging technologies.
Preferred Qualifications
Certifications in cloud architecture, AI/ML, or data platforms.
Familiarity with Gartner research and industry best practices.
Experience in hybrid AI-BI environments, multi-cloud deployments, and data mesh principles.