Data Architect, Databricks, Lakehouse, Data Modeling

HumanIT Digital Consulting

. Lead the design and implementation of a modern enterprise data platform built on Databricks and Azure .

Posted 10/23/2026full-timeRemote • Portugal, SpainSeniorLead💰 €2,300 - €3,300 per monthWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in Data Architecture with a focus on designing and implementing Databricks-based data platforms on Azure. Proficient in data modelling, governance principles, and translating business requirements into scalable data solutions.

Highest-signal resume keywords

Data ArchitectureDatabricks Lakehouse DesignData ModellingMicrosoft Azure Cloud ServicesData Governance Principles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModellingSQLData IntegrationData GovernanceData Architecture DesignLakehouse ArchitectureEnterprise Data StructuresData Processing RequirementsTechnical Design ReviewPerformance Optimization

Soft Skills

Communication SkillsStakeholder ManagementWorkshop Facilitation

Tools & Technologies

DatabricksAzure

Industry Keywords

Data WarehouseData LakeLakehouse PlatformMetadata ManagementData LineageSecurityAccess Control

Tech Stack

Tools & technologies

AzureCloudSQL

About the role

Key responsibilities & impact

Lead the design and implementation of a modern enterprise data platform built on Databricks and Azure
Establish a scalable Lakehouse architecture aligned with enterprise requirements and platform best practices
Define target-state data architecture
Design conceptual, logical and physical data models
Establish standards for data modelling, integration and governance
Ensure consistent representation of business entities and data structures across the platform
Support reliable data consumption by engineering, reporting and analytics teams
Define data governance principles covering lineage, metadata management, cataloguing, security and access patterns
Review solution designs and guide Data Engineers during implementation
Support performance, scalability and cost optimisation
Facilitate business and technical workshops
Communicate architecture decisions clearly and act as a trusted advisor to stakeholders
Contribute to the platform roadmap and ensure architectural decisions support current and future enterprise needs

Requirements

What you’ll need

At least 7 years of professional experience in Data Architecture
At least 3 years of hands-on experience designing Databricks-based data architectures
Strong expertise in data modelling, including conceptual, logical and physical data models
Experience designing enterprise-scale Data Warehouses, Data Lakes or Lakehouse platforms
Practical experience designing scalable Databricks Lakehouse architectures using platform best practices
Strong SQL skills and an understanding of enterprise data structures and data processing requirements
Experience with Microsoft Azure cloud services and cloud-based data platform architecture
Ability to translate business requirements into scalable data models, architecture designs and integration patterns
Experience defining architecture standards for data integration, governance and platform development
Knowledge of data governance principles, including data lineage, metadata management, cataloguing, security and access control
Experience reviewing technical designs and guiding Data Engineers during implementation
Strong communication and stakeholder management skills, including the ability to facilitate business and technical workshops
Ability to communicate complex architectural decisions clearly to both business and IT stakeholders
Professional working proficiency in English
Availability to work remotely from Portugal or Spain

Benefits

Comp & perks

15th month salary
Health insurance covering your family
Birthday off
Mobility program for digital nomads
Real work-life balance