Experienced and strategic Senior Data Architect required to lead the design, development, and governance of the enterprise data architecture. This is a high-impact role responsible for shaping our modern data platform, driving architectural standards, and partnering with senior stakeholders across the business.The ideal candidate combines deep technical expertise — particularly with Databricks — with exceptional stakeholder management skills and the ability to influence at executive level.Key ResponsibilitiesDesign and own the enterprise data architecture strategy, roadmap, and standardsLead the architecture and implementation of scalable, secure, and high-performance data platforms using DatabricksDefine data models, data integration patterns, and governance frameworksCollaborate with business leaders to translate strategic objectives into data solutionsAct as the senior technical authority for data architecture decisionsGuide and mentor data engineers, analysts, and solution architectsEnsure best practices in data quality, security, privacy, and complianceDrive modernization initiatives including cloud-native and lakehouse architecturesManage vendor and technology evaluations where requiredRequired Experience & Skills8+ years of experience in data architecture, data engineering, or related rolesProven experience designing and implementing solutions using Databricks (mandatory)Strong experience with modern cloud platforms (AWS, Azure, or GCP)Expertise in data modelling (conceptual, logical, and physical)Strong knowledge of data warehousing, lakehouse architecture, ETL/ELT, and streaming frameworksExperience with data governance, metadata management, and data quality frameworksExcellent stakeholder management skills at senior level — able to influence C-suite and business leadersStrong communication skills with the ability to explain complex technical concepts to non-technical audiencesExperience leading architecture forums and governance boards
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