Databricks Data Architect

AGILE TALENT
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Tech stack

Clean Code Principles
Unity
Query Performance
Agile Methodologies
Azure
Data Architecture
ETL
Data Systems
Data Warehousing
Virtual Private Networks (VPN)
Python
Network Security
Performance Tuning
Data Streaming
Spark
Data Strategy
Data Lake
PySpark
Modeling and Simulation
Terraform
Databricks

Job description

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. 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. 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

Requirements

cross-domain data modeling. Pipeline Excellence: Lead the design of scalable ETL/ELT workflows using Spark, Delta Lake, and Databricks Workflows. Establish enterprise-wide standards for data quality, lineage, access control, and compliance. Drive "FinOps" initiatives by tuning query performance and optimizing cluster/storage costs. The Databricks Stack: 3-5+ years of deep expertise in Databricks, Delta Lake, and Unity Catalog. Expert-level Python/PySpark and Advanced SQL. Proven experience in designing medallion architectures lake house schemas and familiarity with dimensional data models. Terraform or Databricks Asset Bundles). 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.). Proven track record of working as the "bridge" between Data Engineers, Analysts, and C-suite stakeholders. Passion for mentoring teams on clean code, performance tuning, and scalable architecture. Agile company culture and the best team Company-wide events (Christmas, Spring, Summer) and regular afterworks. Community initiatives and team-driven activities (Football team, Gaming channel). 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. Hybrid model in our offices in Barcelona, Reus, or Zagreb, or remote from Spain. 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.

About the company

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