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

Are you a data leader ready to shape how the worlds 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 AWSs 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 AWSs 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


- Bachelors degree or above in a technical or engineering related field such as Electrical Engineering Computer Science etc.
- 15 years of technical design/implementation/consulting experience in solutions architecture or equivalent
- 10 years of leadership experience in a technical customer-facing role in the data analytics or AI/ML industry
- 7 years of experience managing and leading technology organizations related to data platforms and analytics
- 7 years of hands-on experience with Big Data technologies including Data Warehousing Hadoop/EMR NoSQL Machine Learning and/or Real Time Event Processing
- Demonstrated ability to set vision and lead strategic initiatives across multiple organizations

- Masters degree or above in computer science engineering mathematics or equivalent or experience working in Science Technology Engineering or Mathematics (STEM)
- 15 years of pre-sales engineering technical business development enterprise sales strategic partnerships or program/product management experience
- Deep expertise across the modern data stack: data ingestion transformation warehousing real-time streaming ML model development and deployment and BI/visualization
- Proven track record of thought leadership through technical articles conference speaking or open source contributions
- Extensive experience with cloud computing and AWS analytics services
- Exceptional people-management skills; able to inspire and foster the right behaviors in others through leading by example (Player/Coach)
- Strong enterprise communication skills business and financial acumen
- Excellent analytical skills and demonstrated ability to turn detailed data analysis into useful strategic insight to drive customer adoption and make appropriate recommendations to the business
- Outstanding verbal and written communication skills combined with executive presence
- Demonstrated ability to work effectively across internal and external organizations building consensus and driving results
- Proven ability to reduce organizational friction and create mechanisms that scale

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 241200.00 - 326400.00 USD annually