Chief Cloud Data Strategist

beBeeDataArchitect; Valladolid; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading data solutions firm in Spain is seeking a skilled Cloud Data Architect responsible for designing and implementing end-to-end data architecture on cloud platforms. The ideal candidate will have strong experience with AWS, SQL, Python, and data modeling. This role emphasizes data security, collaboration, and innovative data solutions to support analytics and enterprise reporting.

Formación

• Strong hands-on experience with one or more cloud platforms (AWS preferred).
• Proficiency in SQL, Python, Spark, and cloud-native ETL tools.
• Experience with Infrastructure-as-code (IaC) tools and CI/CD.

Responsabilidades

• Design and implement end-to-end data architecture on cloud platforms.
• Document data flows, architecture diagrams, and data lineage.
• Collaborate with data engineers, business analysts, and DevOps teams.

Conocimientos

Cloud platforms (AWS)

SQL

Python

Spark

ETL tools

Data modeling

Data governance

Infrastructure-as-code (IaC)

CI / CD

Herramientas

Terraform

CloudFormation

DBT

Snowflake

SageMaker

Azure ML

Descripción del empleo

Job Overview

We are seeking an experienced Cloud Data Architect to design and implement end-to-end data architecture on cloud platforms to support analytics, AI / ML, and enterprise reporting.

About the Role

The ideal candidate will have strong hands-on experience with one or more cloud platforms, proficiency in SQL, Python, Spark, and cloud-native ETL tools, and a deep understanding of data modeling, data lake / lakehouse architecture, data pipelines, and real-time streaming.

Key Responsibilities

• Design and implement end-to-end data architecture on cloud platforms to support analytics, AI / ML, and enterprise reporting.
• Document data flows, architecture diagrams, and data lineage for transparency and compliance.
• Define cloud-native data strategies including data lakes, data warehouses, and lakehouse solutions.
• Design data models based on data modeling techniques, including OLTP, OLAP, and Data Vault 2.0 methodologies.
• Develop scalable ETL / ELT frameworks for ingesting and processing structured and unstructured data.
• Lead data platform modernization initiatives, including cloud data warehousing Snowflake.
• Ensure best practices around data security, privacy, and compliance in cloud environments.
• Collaborate with data engineers, business analysts, application architects, and DevOps teams.
• Establish data governance, metadata management, and data catalog strategies using cloud-native or third-party tools.
• Lead cloud migration strategies for legacy data systems to cloud-native solutions.
• Create and maintain data architecture documentation including data flow diagrams, lineage, and system designs.

Requirements

Strong hands-on experience with one or more cloud platforms : AWS (e.g., Glue, S3).

Proficiency in SQL, Python, Spark, and cloud-native ETL tools.

Deep understanding of data modeling, data lake / lakehouse architecture, data pipelines, and real-time streaming.

Experience with Infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation) and CI / CD for data infrastructure.

Experience with modern tools like DBT, Snowflake.

Exposure to ML pipelines and cloud AI / ML services (e.g., SageMaker, Azure ML).

Strong communication skills with ability to explain complex technical concepts to non-technical stakeholders.

Good documentation and coaching practice.

Our Commitment

We are proud to be an Equal Employment Employer and are committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics.