Arquitecto de soluciones del dato en cloud analytics

We are looking to bring on a data solutions architect to strengthen our Data Engineering and Data Architecture team. The position focuses on technical excellence, solution design, innovation and leading other specialists. The selected person will act as a technical reference on data transformation and modernization projects. They will analyze clients' current ecosystems, define target architectures and develop roadmaps to evolve toward modern, scalable, secure and governed data platforms.

• Lead technical and functional assessments of data ecosystems and platforms.
• Facilitate workshops with business, architecture, engineering, security and governance teams.
• Analyze the as-is architecture, identifying risks, technical debt, gaps and opportunities for improvement.
• Define the to-be architecture and modernization roadmap, establishing initiatives, priorities, phases and dependencies.
• Translate the client's objectives and use cases into architectural principles and decisions.
• Design modern data architectures in cloud, hybrid and, when necessary, on-premise environments.
• Define Data Lake, Data Warehouse and Lakehouse solutions, including integration patterns, batch and streaming processing, storage and consumption.
• Incorporate requirements for security, governance, quality, observability, scalability, resilience and cost efficiency.
• Evaluate cloud technologies, specialized platforms and open source components, justifying their suitability to the client's context.
• Develop reference architectures, diagrams, standards and design decisions.
• Lead proofs of concept or technical validations when necessary to reduce risks.
• Act as a technical reference or design authority on complex projects.
• Guide architects, data engineers and other specialists during design and implementation.
• Conduct architecture reviews and ensure consistency between the defined solution and the one ultimately built.
• Resolve complex technical decisions and facilitate agreements between teams and disciplines.
• Communicate and defend recommendations to technical and executive stakeholders, adapting the message to each audience.
• Participate as a solution reference in proposals, estimates and technical presentations, without commercial or financial management being the primary focus of the position.
• Define and promote principles, patterns, best practices and reusable assets.
• Mentor architects, specialists and data engineers.
• Promote technical reviews, design sessions and knowledge sharing.
• Contribute to the development of Data Engineering and Data Architecture capabilities.
• Maintain an up-to-date view of the market and evaluate new technologies and approaches.
• Foster a culture of quality, continuous learning and engineering excellence.

• More than 6 years of experience in data engineering, architecture or platforms.
• Demonstrable experience designing and implementing enterprise-scale data solutions.
• At least 4 years of relevant experience with cloud platforms.
• Experience as a data architect, cloud architect, solution architect or technical reference.
• Experience leading assessments, gap analyses and the definition of as-is and to-be architectures.
• Experience developing modernization, migration or technology transformation roadmaps.
• Ability to technically lead multidisciplinary teams and coordinate decisions across different areas.
• Experience communicating and defending architectures to technical and executive stakeholders.
• University degree in Computer Engineering, Telecommunications, Industrial Engineering, Mathematics, Physics or another equivalent technical discipline.
• Fluent English (B2/C1, preferably C1). You must be able to lead meetings, defend an architecture and write complex technical documentation in English.
• Ability to participate in proposals, meetings and presentations in international settings.
• Ability to lead meetings, facilitate workshops, defend architectures and write technical documentation in English.
• A solid foundation in cloud architecture, depth in several of the main capabilities and the judgment to evaluate alternatives and justify decisions; expert knowledge of every technology is not expected.
• Ability to work with multidisciplinary and distributed teams.
• Flexibility to participate in projects across different sectors and technology contexts.
• Focus on quality, reuse and knowledge generation.
• Будет плюсом: Previous experience in technology consulting and large organizations will be valued; Experience designing data solutions on AWS, Microsoft Azure or Google Cloud Platform; Cloud architectures covering security, networking, observability, resilience, automation and cost optimization; Platforms such as Databricks and Snowflake; Design of Data Lake, Data Warehouse and Lakehouse architectures; Distributed processing with Apache Spark; Orchestration with tools such as Airflow, Dagster or Prefect; Transformation and Analytics Engineering practices with dbt; Streaming and event-processing architectures with technologies such as Kafka or Flink; Storage formats and transactional tables such as Parquet, Delta Lake, Iceberg or Hudi; Data architecture patterns, including Lakehouse, Lambda, Kappa, event-driven architectures and Data Mesh; Dimensional modeling, Data Vault and models designed for analytical consumption; Data governance, cataloging, metadata, lineage and data quality; Design of secure, governed platforms ready to operate at scale; Infrastructure as code, preferably with Terraform; CI/CD, DevOps and DataOps practices applied to data platforms and pipelines; Automation of testing, quality controls, deployments and promotions between environments; Certifications related to AWS, Microsoft Azure or Google Cloud Platform; Databricks certifications; Snowflake certifications; Cloud architecture certifications; Certifications will be a plus, although real experience in solution design, technical leadership and architectural decision-making will be prioritized; Technical contribution to proposals and solution presentations will be valued

• High-impact projects with a long runway and learning opportunities.
• A hybrid-flexible daily routine: flexible hours and a good balance between remote work and teamwork in our offices or our clients' offices.
• A good atmosphere inside and outside the office: several team-building events each year, cultural and sports activities, and much more.
• Holistic wellbeing: take care of your physical, mental and financial health with our program, and with a medical team in the offices.
• Social impact: you can take part in many national and international volunteering opportunities and pro bono projects, putting your time and talent at the service of those who need it most.
• A culture of feedback and continuous learning: grow in an inclusive environment where equal opportunities and your personalized training plan will support your development. You can also experience Deloitte University in Paris.
• Exclusive benefits as part of Deloitte: enjoy a wide range of benefits and a comprehensive flexible compensation plan.