Full Time Aws Data Analytics Jobs (NOW HIRING)

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
BASIC QUALIFICATIONS
- Bachelor's 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
PREFERRED QUALIFICATIONS
- Master's 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't 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 https://amazon.jobs/en/benefits.
USA, WA, Seattle - 241,200.00 - 326,400.00 USD annually