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 Responsibilities
Design and own the enterprise data architecture strategy, roadmap, and standards
Lead the architecture and implementation of scalable, secure, and high-performance data platforms using Databricks
Define data models, data integration patterns, and governance frameworks
Collaborate with business leaders to translate strategic objectives into data solutions
Act as the senior technical authority for data architecture decisions
Guide and mentor data engineers, analysts, and solution architects
Ensure best practices in data quality, security, privacy, and compliance
Drive modernization initiatives including cloud-native and lakehouse architectures
Manage vendor and technology evaluations where required
Required Experience & Skills
8+ years of experience in data architecture, data engineering, or related roles
Proven 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 frameworks
Experience with data governance, metadata management, and data quality frameworks
Excellent stakeholder management skills at senior level — able to influence C-suite and business leaders
Strong communication skills with the ability to explain complex technical concepts to non-technical audiences
Experience leading architecture forums and governance boards
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