DATABRICKS Data Architect

Devoteam Spain

2d • Remote

About The Position

Devoteam is seeking a Databricks Data Architect to design, implement, and optimize data architectures built on the Databricks Data Intelligence Platform. The role contributes to data architecture, platform modernization, and digital transformation projects for clients, designing Lakehouse solutions across cloud and multi-cloud environments to enable advanced analytics, data engineering, and artificial intelligence capabilities.

The architect will create scalable, secure, and efficient solutions; advise clients on Databricks best practices; and collaborate with technical and business teams. The position requires strong technical expertise, an architectural mindset, autonomy, a customer-oriented approach, and fluency in English and Spanish. The work model is 100% remote.

Requirements

• Strong experience in data architecture and designing Databricks-based solutions.
• Deep knowledge of Apache Spark, Delta Lake, Unity Catalog, and Photon.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Knowledge of cloud infrastructure, networking, storage, and IAM security.
• Experience designing ETL/ELT pipelines and data processing solutions.
• Knowledge of data governance, performance optimization, and Lakehouse architectures.
• Strong communication skills, autonomy, and a customer-oriented mindset.
• Fluent written and spoken English and Spanish.
• Degree in Computer Science, Information Systems, or equivalent professional experience.

Nice To Haves

• Experience with Lakeflow, MLflow, Genie, or Unity Gateway.
• Knowledge of Generative AI and Machine Learning.
• Experience migrating legacy data platforms to Databricks.
• Knowledge of FinOps and cloud cost optimization.
• Databricks Data Engineer Professional certification or Platform Architect accreditations.

Responsibilities

• Design and implement Lakehouse and Delta Lake architectures across cloud and multi-cloud environments.
• Develop and optimize ETL/ELT pipelines using Apache Spark, Structured Streaming, and Lakeflow Declarative Pipelines.
• Implement data governance, security, and lineage frameworks using Unity Catalog.
• Define AI governance mechanisms using Unity Gateway.
• Design environments supporting Machine Learning, Generative AI, and advanced analytics using MLflow and Databricks Genie.
• Optimize Databricks platform performance and costs using FinOps best practices.
• Participate in data platform modernization and migration projects toward Lakehouse architectures.
• Advise clients on Databricks best practices and collaborate with technical and business teams.

Benefits

• Competitive salary based on experience.
• Annual performance bonus linked to individual, team, and company objectives.
• Flexible compensation package including transport, childcare, training, health insurance, and meal benefits.
• Employee discounts, physiotherapy, and free English classes.
• Career development opportunities, including access to training, certifications, and annual performance reviews.
• 100% remote working model.

What This Job Offers

• Job Type: Full-time