Data Technical Architect (Standard)

&ltp&gtKey Responsibilities&lt/p&gt&ltp&gt? Define enterprise Data &ampamp;amp; AI architecture strategy&lt/p&gt&ltp&gt? Design modern data platforms, lakehouses and analytics ecosystems&lt/p&gt&ltp&gt? Lead AI/ML, MLOps and GenAI solution architecture&lt/p&gt&ltp&gt? Establish governance, security and Responsible AI practices&lt/p&gt&ltp&gt? Provide technical leadership and stakeholder engagement&lt/p&gt&ltp&gtRequired Qualifications&lt/p&gt&ltp&gt? 12+ years IT experience with 5+ years in Data &ampamp;amp; AI Architecture&lt/p&gt&ltp&gt? Bachelor or Master degree in Computer Science or related field&lt/p&gt&ltp&gt? Experience delivering enterprise-scale cloud data and AI programs&lt/p&gt&ltp&gtTechnical Skills&lt/p&gt&ltp&gt? Azure, AWS, GCP&lt/p&gt&ltp&gt? Microsoft Fabric, Databricks, Synapse, Azure AI&lt/p&gt&ltp&gt? Python, SQL, PySpark, APIs&lt/p&gt&ltp&gt? Machine Learning, MLOps, NLP, Deep Learning&lt/p&gt&ltp&gt? OpenAI, RAG, Vector Databases, AI Agents&lt/p&gt&ltp&gtPreferred Certifications&lt/p&gt&ltp&gt? Azure Solutions Architect&lt/p&gt&ltp&gt? Azure AI Engineer&lt/p&gt&ltp&gt? Fabric Analytics Engineer&lt/p&gt&ltp&gt? Databricks Professional&lt/p&gt&ltp&gt? TOGAF&lt/p&gt&ltp&gtLeadership Competencies&lt/p&gt&ltp&gtStrategic Thinking, Executive Communication, Innovation, Mentorship and Stakeholder&lt/p&gt&ltp&gtManagement.&lt/p&gt