Senior Data Architect

• Translate client business objectives into scalable, secure, and cost-optimized data platform architectures powered by Databricks
• Oversee legacy data warehouse migrations, lakehouse deployments, and enterprise analytics solutions
• Design, build, and productionize end-to-end data ingestion pipelines and transformation workflows using Databricks, Apache Spark, Python, SQL, and cloud-native services
• Assist in scoping professional services engagements through technical solution designs, architectural blueprints, and effort estimations
• Partner with delivery teams, client engineers, and project managers to drive on-time, high-quality technical execution
• Troubleshoot complex implementation challenges
• Author architectural documentation
• Establish best practices supporting long-term client self-sufficiency
• Lead client engagements across data engineering, advanced analytics, and AI initiatives
• Partner with client stakeholders, enterprise partners, and internal engineering teams to migrate legacy systems, deploy lakehouse architectures, and support technology adoption

• 8+ years of hands-on experience in data engineering, data architecture, or big data platform development
• Proficient in Python and SQL
• Strong expertise in distributed computing and Apache Spark
• Proven experience building and deploying modern data platforms using Databricks or comparable technologies
• Experience with at least one major cloud provider: AWS, Azure, or GCP
• Familiarity with CI/CD automation
• Familiarity with DevOps best practices for data operations (DataOps)
• Familiarity with production-grade pipeline management
• Exceptional consulting skills
• Ability to lead technical workshops, communicate complex concepts to key stakeholders, and steer architectural decisions
• Hands-on experience deploying machine learning platforms and production MLOps workflows preferred
• Demonstrated success migrating legacy ETL/data warehouse environments to modern cloud data platforms preferred
• Active Databricks certifications preferred
• Previous experience in enterprise professional services, technical consulting, or client-facing solutions engineering preferred

• Open to B2B and permanent contract
• Flexible working hours
• Work-life balance
• Continuous hands-on experience with emerging Databricks features, multi-cloud platforms, and automated CI/CD data workflows
• Competitive compensation
• Long-term project pipelines
• Location independence anywhere in Spain