Senior Data Architect

This is a fully remote position, open to applicants in Spain.

📋 Description

• Transform client business goals into scalable, secure, and cost-effective data platform architectures utilizing Databricks.

• Manage migrations from legacy data warehouses, lakehouse implementations, and enterprise analytics solutions.

• Design, construct, and operationalize comprehensive data ingestion pipelines and transformation workflows using Databricks, Apache Spark, Python, SQL, and cloud-native services.

• Support the definition of professional services engagements through technical solution designs, architectural blueprints, and effort assessments.

• Collaborate with delivery teams, client engineers, and project managers to ensure timely and high-quality technical execution.

• Resolve complex implementation issues.

• Create architectural documentation.

• Establish best practices that promote long-term client self-sufficiency.

• Lead client initiatives in data engineering, advanced analytics, and AI projects.

• Collaborate with client stakeholders, enterprise partners, and internal engineering teams to transition legacy systems, implement lakehouse architectures, and facilitate technology adoption.

⛳️ Requirements

• Over 8 years of practical experience in data engineering, data architecture, or big data platform development.

• Proficient in Python and SQL.

• Strong knowledge of distributed computing and Apache Spark.

• Proven track record of building and deploying modern data platforms using Databricks or similar technologies.

• Experience with at least one major cloud provider: AWS, Azure, or GCP.

• Familiarity with CI/CD automation.

• Understanding of DevOps best practices for data operations (DataOps).

• Knowledge of production-grade pipeline management.

• Outstanding consulting abilities.

• Capacity to lead technical workshops, convey complex concepts to key stakeholders, and guide architectural decisions.

• Preferred hands-on experience with deploying machine learning platforms and production MLOps workflows.

• Demonstrated success in migrating legacy ETL/data warehouse environments to modern cloud data platforms is preferred.

• Active Databricks certifications are a plus.

• Prior experience in enterprise professional services, technical consulting, or client-facing solutions engineering is preferred.

🏝️ Benefits

• Open to both B2B and permanent contract options.

• Flexible working hours.

• Emphasis on work-life balance.

• Continuous hands-on experience with the latest Databricks features, multi-cloud platforms, and automated CI/CD data workflows.

• Competitive salary.

• Long-term project pipelines.

• Location independence anywhere in Spain.