Senior Data Platform Architect

Principal Data Architect We are seeking an accomplished Principal Data Architect with deep expertise in Azure Databricks Platform to lead and manage our enterprise-scale data platform initiatives and analytics projects. The ideal candidate is a proactive, technically exceptional leader who brings a strong blend of strategic thinking, hands-on technical execution, and people management. Key Responsibilities • Platform Ownership & Architecture • Own and evolve the architecture and operations of our Azure Fabric and Databricks platforms. • Drive the design and implementation of medallion architecture (bronze, silver, gold layers) to ensure scalable and maintainable data processing frameworks. • Champion and enforce data governance, security protocols, lineage, and access controls across the data estate. • Data Engineering Leadership • Lead the development and optimization of high-performance data pipelines and ETL/ELT processes using Spark in Databricks platform. • Architect end-to-end data workflows to support real-time and batch processing needs across various business units. • Maintain and enhance data catalogs, metadata management, and discoverability to ensure data democratization. • BI & Analytics Enablement • Collaborate with stakeholders to deliver reliable BI reports and self-service analytics tools that translate data into actionable insights. • Align data delivery with business KPIs, analytics roadmaps, and operational reporting needs. • Team Leadership & Collaboration • Inspire and lead a team of data engineers, architects, and analysts with a strong focus on collaboration and innovation. • Foster a team-first mindset, providing mentorship and clear career development paths. • Collaborate cross-functionally with Product, Engineering, Security, and Business teams to deliver high-impact solutions. • Communication & Influence • Communicate complex technical topics to non-technical stakeholders with clarity and confidence. • Proactively identify opportunities, risks, and areas for data-driven innovation. • Present architectural proposals and platform evolution strategies to executive leadership. Required Qualifications • 10+ years of experience in enterprise data platforms, with proven leadership roles. • Expert-level knowledge of Azure Fabric and Databricks (including Spark). • Strong experience implementing data governance frameworks, RBAC policies, encryption, and compliance (e.g., GDPR, HIPAA). • Proficient in building and scaling data pipelines, Delta Lake, Lakehouse patterns, and streaming/real-time data integration. • Demonstrated experience in BI/reporting solutions (Power BI, Tableau, Looker, etc.). • Deep understanding of data cataloging, metadata management, and data quality practices. • Skilled in collaborative leadership, people management, and mentorship. • Excellent written and verbal communication skills; adept at interfacing with both technical and executive stakeholders. Preferred • Certifications in Azure or Databricks (e.g., Azure Solutions Architect, Databricks Certified Data Engineer). • Proven track record in driving enterprise-scale data transformation initiatives.