Data Architect

Key Skills

Apache Cassandra, Apache Kafka, AWS, Azure, Continuous Integration & Continuous Delivery - CI/CD, Data Fabric, Databricks, DataOps, DevOps, Git, Google Cloud Platform (GCP), Jenkins, Kubernetes-K8s, MLOps tools, Python Programming, Spark-SQL, SQL, Synapse, Terraform

Job Description

What would happen if we didn't focus on who you are now, but on what you will be?

At EY you will have the opportunity to build a unique experience. You'll have the latest technology, be surrounded by high-performance teams, and have the global environment and inclusive culture you need to discover your potential. Through our training and mentoring courses, you will be able to develop the necessary skills to grow, today and in the future; while you build a network of contacts, mentors and leaders who will accompany you in this experience at EY.

The exceptional EY experience. It's yours to build.

The opportunity: your next adventure awaits you

At EY Consulting we have adapted to the nature of the sectors, to the new needs that our clients have and we accompany them in their digital transformation. We are innovative, agile, collaborative and align business strategy objectives with new technologies.

One of our pillars is to transform the business through new technologies and innovation, attracting and captivating exceptional talent.

EY Consulting is divided into two large areas: Business Consulting and Technology Consulting. At Business Consulting we carry out business strategy projects, process optimization and change management. At Technology Consulting we develop solutions linked to the areas of Big Data & Analytics, Cybersecurity, SAP, Business Process Automation (RPA, NLP...), Cloud environment, etc.

As part of the team, you will enjoy a creative, challenging and collaborative environment where both your ideas and motivation will be highly valued.

We are currently looking for a Data Architect for the Data & Analytics team to perform the following functions :

• Definition and design of the architecture that covers the entire data life cycle of our clients.
• Define and ensure that good practices are maintained at the level of architecture design, code development and CI/CD flows.
• Guarantee the performance, quality, reliability, scalability and reuse of data pipelines and services. Data life cycle control
• Ensure the governance and data quality of the different data flows and services hosted in cloud solutions.
• Definition of the process of deployment and promotion of different analytical models.

The objective is that you are responsible for proposing the technical architecture of a data project, intervening in the design and creation of the data model for the different layers within the lakehouse and the efficient integration of the data model with all the elements that make it up at origin and destination.

We are looking for a candidate who has:

• Degree in Computer Science, Engineering, Mathematics, etc.
• high english
• At least 5 years of experience
• Experience in main cloud platforms: Azure, AWS and GCP
• Knowledge of DataOps and MLOps, with a special focus on the development and orchestration of data pipelines
• Azure: Databricks, DataFactory, Synapse
• Python, SQL, Spark
• Fluency with the DevOps framework and its tools such as Docker, Kubernetes, Terraform, Jenkins, or Git.

We will positively value

• CI/CD tools and code versioning systems (git)
• Lenguajes: SQL, Python, Spark
• Experience in Big Data solutions such as Spark, Kafka or Cassandra. Tabular databases
• Fluency with orchestration tools.
• Agile Methodologies
• Certifications on cloud platforms, especially Azure, will be valued.

What we can provide you:

• Development of your technical capabilities and leadership skills through development programs focused on your future.
• I work in international teams that will give you the opportunity to learn about different cultures and points of view.
• Get the best out of yourself with a continuous investment in your well-being and the development of your professional career.
• Develop your own personal goal and help our teams, business, clients and society in this; building a better world together.