Director, AWS Database, Analytics & Storage Solutions Architecture, Database & Analytics GTM

Are you a data leader ready to shape how the world"s most innovative companies harness their data in the cloud - and prepare it for the agentic AI era? If you have deep expertise across relational and non-relational databases, data warehousing and lakehouse architectures, real-time event processing, and cloud storage - and a passion for solving complex, large-scale data challenges alongside customers - this is the role for you.

As Director of the worldwide Database, Analytics & Storage Solutions Architecture team at AWS, you will lead a global organization of specialist solutions architects who drive technical customer engagement, solution design, and adoption across AWS"s data portfolio. Your team will serve as the technical counterpart to the Database, Analytics & Storage go-to-market organization - partnering directly with service team engineering leaders, field sales, and customer executives to accelerate data-driven transformation.

This is a role for a leader who combines deep technical expertise with strategic business acumen, executive presence, and the ability to inspire a large, distributed team. You will set the vision for how AWS helps customers migrate, modernize, and unlock the value of their data at scale.

Key job responsibilities

• Lead a worldwide team of specialist solutions architects and AWS Data technical field SME community members across AMER, EMEA, and APJ
• Set the technical vision for customer engagement across AWS"s broad and deep spectrum of data services including Aurora, RDS, DynamoDB, ElastiCache, Redshift, EMR, S3, MSK, and OpenSearch
• Drive measurable business impact through technical customer engagement, solution design, and hands-on architecture guidance that accelerates workload adoption
• Serve as the technical counterpart to the Database, Analytics & Storage GTM leader, aligning SA strategy with business priorities
• Partner with VP-level engineering leaders across database, analytics, storage, and search service teams to influence product roadmap through structured closed-loop feedback
• Engage CxO-level executives at strategic customers (VP Engineering, CTO, CDO) to shape their data and AI strategies
• Build durable mechanisms including migration & modernization playbooks, competitive technical response guides, POC frameworks, and AI-powered tools to scale SA knowledge and productivity
• Develop thought leadership through technical content, conference keynotes, reference architectures, and community engagement
• Leverage AI and agentic technologies to build automated architecture assessments, migration planning tools, and intelligent assistance that amplifies SA effectiveness
• Own strategic planning for Data & Analytics GTM initiatives and serve as a trusted advisor to Directors and VPs on data technology trends, market opportunities, and competitive positioning
• Serve as a globally recognized evangelist and thought leader for AWS Data & Analytics solutions through keynote speaking, white papers, reference architectures, and AWS Blogs
• Architect advanced customer solutions for Real Time and Batch-based Big Data processing, Business Intelligence, NoSQL, and Machine Learning; demonstrate viability through proof-of-concepts and establish company standards for data architecture best practices
• Craft compelling audience-specific content (product videos, customer success stories, demos, presentations, how-to guides) and serve as technical liaison between customers and engineering teams
• Lead and develop a global team of Data & Analytics Solutions Architects, fostering a culture of collaboration, inclusion, and innovation
• Create operational mechanisms to address recurring escalation patterns, reduce bureaucracy, and actively lead the broader SA community
• Collaborate with AWS field sales, professional services, engineering, and product management teams to shape product vision, develop best practices, and drive partner go-to-market strategies
• Lead large multi-org or global initiatives that drive significant business impact across the data and analytics ecosystem