Principal Data Solution Architect

We are seeking an exceptional Principal Data Solution Architect to shape strategic initiatives and drive innovation at a high level within our organization. In this key leadership role, you will craft, manage, and implement premier data architectures aligned with the organization’s long-term vision. You will guide multidisciplinary teams to deliver cutting-edge, scalable solutions within a dynamic and complex setting. Responsibilities Define enterprise-grade data pipeline architectures designed for global scalability Lead the design and configuration of real-time streaming platforms optimized for critical data ingest Architect and enhance high-performance, multi-petabyte data lakes for retrieval and long-term storage Develop and automate intricate ETL and ELT workflows utilizing Azure Data Factory Integrate distributed data processing frameworks with Azure Databricks and PySpark for advanced analytics Design comprehensive cloud infrastructure roadmaps leveraging Azure IaaS and PaaS models Establish strategic networking practices and CI/CD pipeline frameworks through Azure DevOps Deliver scalable telemetry monitoring models and log analytics strategies across diverse systems Innovate in time-series analysis and operational insights leveraging Azure Data Explorer and KQL Implement data governance, security protocols, and compliance models through Azure Purview Translate complex organizational needs into ambitious technical projects using Azure solutions Foster alignment across executive stakeholders while coaching senior technical teams Architect Agile and DevOps workflows designed to speed innovation and enhance operational resilience Requirements 16+ years of working experience in Data Solution Architecture A minimum of 8 years of leadership experience, preferably within Agile enterprise structures Experience managing 5+ large-scale projects over time Capacity to guide and impact cross-functional teams effectively Background in Azure Data Lake, Azure Databricks (PySpark), Azure Synapse, Azure Data Factory, and Azure Data Explorer for mission-critical systems Knowledge of distributed systems and large-scale analytics with PySpark and Azure Databricks Understanding of globally scalable data lakes, pipelines, and real-time solutions using ADX Proficiency in automation and orchestration of ETL/ELT processes through Azure technologies Qualifications in cloud infrastructure governance, including IaaS/PaaS models, network design, and CI/CD pipelines via Azure DevOps Expertise in telemetry and log analytics architectures for advanced systems using ADX Skills in time-series analysis and operational insights utilizing ADX and KQL Competency in establishing enterprise security, compliance, and data governance frameworks using Azure Purview Capability to translate intricate business directives into impactful technical delivery centered around Azure and ADX systems Showcase of strong communication and mentoring abilities to align executive stakeholders and guide senior teams Familiarity with Agile methodologies and enterprise-grade DevOps practices for continuous improvement English language proficiency at an Advanced level (C1) or higher Nice to have Proficiency in Python, SQL, and Scala for advanced data processing and optimization Experience with advanced ML/AI models and frameworks leveraging Azure Machine Learning and Databricks Certifications such as Azure Solutions Architect Expert, Azure Data Engineer Associate, or similar