Databricks Data Architect (m/f/d)

About Us ClearPeaks, a GlobalLogic company, has been a trusted AI, data, and analytics partner since 2000, helping organizations turn everything data into measurable business impact across Business Intelligence, Advanced Analytics, Big Data, Cloud, and AI. With offices in Barcelona, Reus, and Abu Dhabi and delivery experience across 15-plus industries in Europe, the Middle East, the United States, and Africa, ClearPeaks built its reputation as part of the synvert group of data and analytics firms, together spanning over 3,000 successful projects and 250 customers. As part of GlobalLogic, a Hitachi company, ClearPeaks now pairs that specialist data and analytics depth with GlobalLogic's digital engineering scale, giving clients a broader path from data strategy to intelligent, production-ready products. As Databricks Data Architect you will be responsible for designing how the Databricks platform is set up and used in practice. This includes defining workspace layouts, compute configuration, storage and Delta table strategy, and how data flows through Bronze, Silver, and Gold layers. Deciding where data should live, how it should be modelled, and which Databricks features to use for building scalable pipelines. Defining governance, security, and data quality standards, help optimize performance and costs, and work closely with data engineers and consumers to turn requirements into working, production‑ready data solutions. Your Tasks Platform Design: Architect and manage the end-to-end Databricks environment, including Unity Catalog, workspaces, and networking. Data Strategy: Define and implement the Medallion Architecture (Bronze/Silver/Gold) and cross-domain data modeling. Pipeline Excellence: Lead the design of scalable ETL/ELT workflows using Spark, Delta Lake, and Databricks Workflows. Governance & Security: Establish enterprise-wide standards for data quality, lineage, access control, and compliance. Optimization: Drive "FinOps" initiatives by tuning query performance and optimizing cluster/storage costs. What do we expect from you? Technical Requirements The Databricks Stack: 3–5+ years of deep expertise in Databricks, Delta Lake, and Unity Catalog Core Languages: Expert-level Python/PySpark and Advanced SQL. Modelling Mastery: Proven experience in designing medallion architectures lake house schemas and familiarity with dimensional data models. DataOps: Proficiency with CI/CD pipelines, Git, and Infrastructure as Code (e.g., Terraform or Databricks Asset Bundles). Integrations: Hands-on experience with batch and real-time streaming. Expertise in designing, setting up and administering platforms with any of the hyperscale's, Azure preferred Familiarity with network and security topics (firewalls, VPNs, private links, etc.) Leadership & Strategy Technical Roadmap: Ability to translate business requirements into technical specs and long-term platform roadmaps. Collaboration: Proven track record of working as the "bridge" between Data Engineers, Analysts, and C-suite stakeholders. Best Practices: Passion for mentoring teams on clean code, performance tuning, and scalable architecture. What you can expect Agile company culture and the best team Join our international, ambitious, and collaborative teams that value ownership and excellence. Structured onboarding for smooth integration. Company-wide events (Christmas, Spring, Summer) and regular afterworks. Community initiatives and team-driven activities (Football team, Gaming channel). Continuous development Work on challenging projects that accelerate your professional growth. Structured mentoring, training, and certification programs. Use of agile frameworks combined with established planning and delivery standards. Talent Cycle: regular performance reviews, continuous feedback, and clear career paths. Working Model Hybrid model in our offices in Barcelona, Reus, or Zagreb, or remote from Spain. Other Benefits Flexible benefits plan: health insurance, transport, childcare vouchers. Remuneration is structured according to benchmarks and evolving market practices, ensuring internal consistency, external competitiveness, and alignment with business performance and professional progression. 23 vacation days + December 24th and 31st.