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88,000+ live jobsAWS Senior Architect (DBT)
Hybrid in Madrid·Added 1 month ago (last checked 6 Nov)
Our summary
- Work mode
- Hybrid, Madrid
- Spanish
- Expected (ad in Spanish)
- English
- Required
- Experience
- 5+ years
- Benefits
- Private health insurance, flexible pay plan, meal vouchers, gym access





Visa options
The ad doesn’t mention sponsorship
Not a refusal, but not a yes. Worth asking in your first message.
Skills
This job advert was originally written in Spanish.
The role
Choosing Capgemini means choosing a company where you will have the freedom to design your career as you wish, with the support and inspiration of a collaborative community of colleagues around the world. Here you can reinvent what is possible. Join us and help the world's leading organizations discover the value of technology and build a more sustainable and inclusive world.
As part of the Data & AI team, you will join a relevant project in the banking sector, and you will have the opportunity to continue training, certifying, and reorienting your profile within other data areas.
What will you do on the project? What will your role be?
The current need focuses on a Senior Data Architect profile with solid experience designing and implementing cloud data architectures on AWS and enterprise-scale analytics platforms. You will perform the following actions within the project:
- Design cloud data and analytics architectures in AWS (Data Lakehouse, ETL/ELT, APIs, security).
- Lead the implementation of advanced data platforms, including services such as: Redshift, Athena, Glue, Step Functions, Lake Formation, EKS, SageMaker, DBT, and microservices.
- Define end-to-end data architectures (batch, streaming, and real-time) using technologies such as Apache Iceberg, EMR, Airflow, Kafka/Confluent, Spark.
- Prepare architectural documentation, participate in technical reviews, and define reference models and patterns.
- Explore new cloud/data technologies and propose continuous improvements in platforms, processes, and best practices.
Your profile
To feel comfortable in the position, your profile must provide:
- 5+ years of experience in data architecture, cloud, and AI/ML solutions.
- Mastery of AWS and experience in multicloud environments (Azure, GCP, Oracle Cloud).
- Experience designing data lakes, batch pipelines, analytical architectures, and security models.
- Advanced knowledge of big data tools and stacks: Spark, Hive, HBase, HDFS, Athena, SageMaker, Redshift, S3, Aurora, PostgreSQL
- Experience with Infrastructure as Code (IaC).
- Solid background in DevOps, CI/CD, containers, and orchestration.
- Demonstrated ability to work with organizations of different sectors and sizes.
- Communication skills, teamwork, and a continuous learning mindset.
- Fluent level of English, accustomed to conducting technical meetings.
We value all applications and offer on-site, online, and certified training. Even if you do not meet 100% of the requirements, we want to meet you!
What will you like about working here?
- Varied and challenging projects: You will work on cross-sector challenges, avoiding routine and gaining exposure to diverse technologies.
- Flexibility and hybrid model: A culture oriented toward work-life balance.
- Continuous learning:
- Training in cloud technologies, data governance, visualization...
- Real involvement in projects with generative AI, Business AI, and emerging data technologies.
- Diverse clients and constant innovation: Real impact projects with leading organizations.
- Collaborative and inclusive environments: Dynamic, multicultural teams focused on growth.
- Professional growth and technical challenge: Autonomy, mentoring, certifications, and opportunities to expand your role within the Data & AI area.
- Wellbeing HUB - Includes policies and actions for physical (Wellhub) and mental health.
- 24 days of vacation + 2 personal days + 24 and 31 December + option to buy up to 7 vacation days per year.
- FlexAbroad: possibility to work remotely from another country for 45 days.
- Flexible Compensation Plan (health insurance, transportation, training, restaurant card or meal subsidy, childcare...)
Why Capgemini? Our commitments and priorities
Capgemini is a global partner in business and technological transformation, helping organizations accelerate their dual transition toward a digital and sustainable world, generating tangible impact on both businesses and society. We are a responsible and diverse group made up of 340,000 professionals in more than 50 countries. With a solid track record of more than 55 years, our clients trust us to leverage the value of technology and address all their business needs. We offer end-to-end services and solutions ranging from strategy and design to engineering, driven by our leading capabilities in AI, generative AI, cloud, and data, along with deep industry knowledge and a solid partner ecosystem.
MAKE IT REAL.
Hiring process
1 interview
- Submitting your application takes 3 to 5 minutes (name, contact details, CV and optional cover letter).
- When you accept the offer you receive a pre-boarding plan and an invitation to the monthly RISE welcome event.
About Capgemini
Capgemini is a global leader in consulting, technology services and digital transformation, offering an array of integrated services that combine technology with deep sector expertise. The group describes itself as a global leader in business and technology transformation, powered by AI, and serves industries including aerospace and defense, banking and capital markets, consumer products, energy and utilities, healthcare, insurance, manufacturing, public sector, retail and telecoms.
Its portfolio of brands includes Capgemini Invent, its powerhouse of innovation, design and transformation, Capgemini Engineering, which helps the world's largest innovators engineer the products and services of tomorrow, as well as frog and Sogeti. Its services span cloud, cybersecurity, data and artificial intelligence, digital sovereignty, enterprise management, intelligent industry and sustainable business.
- Industry
- IT Consulting
- Employees
- 350,000
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