Principal Data Solution Architect

We are searching for an exceptional Principal Data Solution Architect to spearhead strategic initiatives and foster innovation at the highest level within our organization.
In this critical leadership role, you will focus on defining, constructing, and managing top-tier data architectures that align with our long-term vision. You will guide multidisciplinary teams in delivering scalable and cutting-edge solutions in a dynamic, complex environment.
Responsibilities
Define and implement enterprise-grade data pipeline architectures to support global scalability
Lead the design and deployment of advanced real-time streaming platforms to enable mission-critical data ingestion
Architect and optimize multi-petabyte data lakes for high-performance retrieval and efficient long-term storage
Oversee the creation and automation of intricate ETL and ELT workflows utilizing Azure Data Factory
Integrate distributed data processing frameworks and advanced analytics through Azure Databricks and PySpark
Design and govern comprehensive cloud infrastructure strategies leveraging Azure IaaS and PaaS models
Establish cohesive enterprise networking strategies and CI/CD pipelines through Azure DevOps
Develop scalable data strategies for telemetry monitoring and sophisticated log analytics across multiple systems
Innovate in time-series analytics and operational insights by using Azure Data Explorer and KQL
Execute holistic data governance, security protocols, and compliance frameworks with Azure Purview
Translate complex business demands into visionary technical strategies with a focus on Azure capabilities
Cultivate collaborative relationships across executive stakeholders while mentoring senior team members
Architect Agile and DevOps workflows to enhance innovation and organizational resilience
Requirements
16+ years of experience in Data Solution Architecture
A minimum of 8 years in senior leadership roles, particularly within Agile enterprise settings
Hands-on experience in at least 5 large-scale projects
Strong ability to lead and manage cross-functional, multidisciplinary teams
Advanced expertise in Azure Data Lake, Azure Databricks (PySpark), Azure Synapse, Azure Data Factory, and Azure Data Explorer for mission-critical analytics
Comprehensive knowledge of distributed systems and scalable analytics utilizing PySpark and Azure Databricks
Proven track record of architecting and managing globally scalable data lakes, pipelines, and real-time solutions with ADX
Mastery in automating, integrating, and orchestrating ETL/ELT workflows using Azure technologies
Proficiency in cloud infrastructure governance, including IaaS/PaaS models, advanced networking, and CI/CD frameworks within Azure DevOps
Demonstrated capability to define telemetry and log analytics architectures for large systems using ADX
Specialization in time-series analysis and advanced operational insights using ADX and KQL
High-level proficiency in delivering enterprise data security, compliance, and governance solutions using Azure Purview
Aptitude for translating intricate business needs into robust technical frameworks centered on Azure and ADX solutions
Exceptional leadership and communication skills to drive alignment and mentor senior, cross-functional teams
Deep familiarity with Agile workflows and enterprise-caliber DevOps methodologies 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