
Senior Data Architect
- Madrid
- Permanente
- Tiempo completo
- Design, develop, and implement data & analytics solutions to meet business requirements and create cost-efficient, highly available, and scalable customer solutions, including Well-Architected reviews and SoW.
- Research and analyze current solutions and initiate improvement plans.
- Collaborate with other engineers and stakeholders to ensure solutions are designed and developed according to best practices.
- Lead workshops, POCs, and architecture reviews with startup customers, conferences, webinars, and more.
- Stay up to date on Data Engineering and Analytics trends and contribute to internal enablement.
- Frequent travels - locally (on-demand to meet with customers and partners and attend local events) and abroad (at least once a quarter).
- Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
- International work environment
- Referral program – enjoy cooperation with your colleagues and get a bonus
- Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
- Wellbeing and professional coaching
- English classes
- Soft skills training
- 3+ years of hands-on experience in AWS, including solution design, migration, and maintenance
- 2+ years in customer-facing technical roles (e.g., SRE, Cloud Architect, Customer Engineer)
- Production experience with AWS infrastructure, data services, and real-time data processing
- Skilled in AWS analytics tools (Glue, Athena, Redshift, EMR, Kinesis, MSK, QuickSight, dbt)
- Understanding of information security best practices
- Strong verbal and written communication in English and local language
- Ability to lead end-to-end technical engagements and work in fast-paced environments
- AWS Solutions Architect – Associate certification
- Experience with Kubernetes, CI/CD, and DevOps tools – an advantage
- Experience with ETL processes, data lakes, and pipelines – an advantage
- Experience writing SOWs, HLDs, and effort estimates – an advantage
- AWS Professional or Data Analytics/Data Engineer certifications – an advantage