Data Architect

Kyndryl; Sevilla; Presencial; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

A leading technology services company in Spain seeks a Data Architect to design data platforms on Google Cloud, AWS, or Azure. This role involves leading a team of data engineers, ensuring data quality, and developing strategies in alignment with compliance standards. Strong experience in data warehousing and ETL processes is required, along with proficiency in programming and data services. The position offers an innovative work environment with a focus on employee well-being and continuous learning.

Servicios

Access to learning resources and certifications

Volunteering opportunities

Support for equitable culture

Formación

• Experience in data warehousing and data lake design patterns.
• Proven experience with large-scale data warehouses ensuring data quality.
• Hands-on experience with data services such as BigQuery and DataProc.

Responsabilidades

• Design strategy and develop plans for data platforms.
• Lead a team of data engineers to implement proposals.
• Communicate technical requirements derived from business needs.

Conocimientos

Data warehousing

ETL processes

Data lake design

Pyspark

Python

SQL programming

BigQuery

Data visualization with BI tools

Educación

BS, MS, or PhD in Mathematics, Computer Science, or related fields

Herramientas

Google Cloud Platform

AWS

Azure

Looker

Power BI

Descripción del empleo

At Kyndryl, we design, build, manage, and modernize mission-critical technology systems that the world depends on every day. Why work at Kyndryl? We are always moving forward—pushing ourselves to build a more equitable, inclusive world for our employees, customers, and communities.

The RoleWe are seeking a Data Architect to design a data platform on Google Cloud, AWS, or Azure, adhering to best practices in design, building, and maintaining large-scale data warehouses, and ensuring data quality at scale on Google Cloud Platform (GCP), AWS, or Azure.

Responsibilities

Design strategy, gather client requirements, and develop plans to feed data platforms following compliance standards.

Lead a team of data engineers to implement these proposals.

Maintain communication with both technical and non-technical colleagues to derive technical requirements from business needs and problems.

Who You AreRequired Technical and Professional Expertise

Experience in data warehousing and data lake design patterns.

Proven experience in building and maintaining large-scale data warehouses and ensuring data quality at scale on GCP, Azure, or AWS.

Hands-on experience with data services such as BigQuery, Composer, Dataform, DataProc, Pub / Sub, etc.

Expertise in data mining, storage, and ETL processes.

Proficiency in Pyspark, Python, and SQL programming.

Knowledge of BI tools like Looker or Power BI for visualization and reporting.

Strong communication skills to collaborate with technical and non-technical colleagues.

Preferred Technical and Professional Experience

BS, MS, or PhD in Mathematics, Computer Science, or related fields.

Experience with other data environments such as Databricks, Snowflake, Azure, or AWS.

Knowledge of DevOps / DataOps practices and CI / CD pipelines.

Understanding of monitoring, logging, and troubleshooting tools.

Our Culture and BenefitsWe value diversity in all forms—culture, background, and experience—and foster an inclusive environment through our Kyndryl Inclusion Networks. We support your whole self at work and promote an equitable culture.

What to Expect :

Working with state-of-the-art resources and Fortune 100 clients, you will innovate, build new capabilities, and create value daily. We care about your well-being and offer benefits that support your life journey, including access to top learning resources and certifications from Microsoft, Google, Amazon, Skillsoft, and more. Through our volunteering platform, you can donate, fundraise, volunteer, and connect with over 2 million nonprofits. We invest in your success because your growth is our collective success.

J-18808-Ljbffr