Principal Data Solution Architect
We are seeking an outstanding Principal Data Solution Architect to guide strategic direction and foster top-tier innovation across our organization. In this pivotal position, you will define, construct, and manage cutting-edge data architectures aligned with long-term business goals. You will lead cross-functional teams to deliver scalable, advanced solutions in a highly dynamic and complex environment. Responsibilities Define and implement enterprise-grade data pipeline architectures for global scalability Lead the development and deployment of advanced real-time streaming platforms for critical data ingestion Architect and enhance multi-petabyte data lakes to ensure high-performance access and optimized storage Oversee the creation and automation of sophisticated ETL and ELT workflows using Azure Data Factory Integrate distributed data processing frameworks and advanced analytics leveraging Azure Databricks and PySpark Design and govern comprehensive cloud infrastructure strategies utilizing Azure IaaS and PaaS models Establish enterprise-wide networking and CI/CD strategies through Azure DevOps Develop robust data strategies for telemetry monitoring and advanced log analytics across diverse systems Drive advancements in time-series analytics and operational insights using Azure Data Explorer and KQL Direct the implementation of data governance, security frameworks, and compliance protocols through Azure Purview Translate intricate business needs into impactful, forward-facing technical strategies utilizing Azure technologies Foster collaboration and strategic alignment across executive stakeholders while mentoring senior professionals Architect Agile and DevOps methodologies to fuel innovation and enhance organizational resilience Requirements 16+ years' experience in Data Solution Architecture A minimum of 8 years in senior leadership roles, preferably across Agile enterprise organizations Involvement in 5+ large-scale projects with hands-on contributions Proven management capability with multidisciplinary teams Advanced knowledge of Azure Data Lake, Azure Databricks (PySpark), Azure Synapse, Azure Data Factory, and Azure Data Explorer for mission-critical analytics Extensive background in distributed systems and large-scale analytics focusing on PySpark and Azure Databricks Showcase of expertise in designing and managing globally scalable data lakes, pipelines, and real-time solutions with Azure Data Explorer Advanced proficiency in ETL/ELT automation, integration, and orchestration processes using Azure technologies Qualifications in cloud infrastructure, including IaaS/PaaS strategies, networking, and CI/CD pipelines through Azure DevOps Capability to define telemetry and log analytics solutions at scale using Azure Data Explorer Proficiency in time-series data analysis, delivering operational insights with Azure Data Explorer and KQL Competency in enterprise security protocols, compliance frameworks, and governance strategies utilizing Azure Purview Understanding of translating technical requirements into impactful strategies using Azure and Azure Data Explorer Strong communication and leadership skills to mentor multi-disciplinary teams and align stakeholders Familiarity with advanced Agile and DevOps processes promoting organizational growth and stability 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