Databricks Data Architect (m/f/d)

About the role

We are a specialist consulting firm delivering services and solutions in "Everything Data" - Business Intelligence, Advanced Analytics, Big Data & Cloud, and Web & Mobile Applications. Founded in 2000, we have been a trusted partner to our customers in over 15 industry verticals and functional areas, with operations spanning Europe, Middle East, the United States, and Africa.
ClearPeaks is part of a strategic alliance with synvert, a group of six successful full-service Data & Analytics (D&A) consulting firms, with a clear goal to become one of EMEA's largest D&A consulting companies.
Our services are based on the latest market-leading enterprise technology platforms, and delivered by a dynamic team of expert consultants. Our strength lies in our ability to efficiently deliver customer insight and value, gained through our decades of experience with real-world challenges.
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. 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.
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.
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.