TRCI-26-04783

Data Architect / Data Platform Architect (Snowflake, dbt, AWS)

Contract role in Barcelona for a senior data architecture professional (5–7 years) to define enterprise and solution-level information/data architecture for healthcare data platforms. The focus is hands-on Snowflake platform design (schemas/warehouses/RBAC/data sharing), dbt-based ELT transformation standards, advanced SQL and Python for data processing and automation, and AWS integration (S3, RDS, Redshift, Lambda, IAM, Glue, CloudWatch). The role also sets CI/CD and DevOps practices for data pipelines and includes document intelligence pipelines (OCR/extraction) using Snowflake Cortex/GenAI with strong governance, security, lineage, and data quality controls.

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Position summary

Location: Spain
Workplace: Hybrid
Employment: Contract
Experience: Minimum 5 years and Maximum 7 years

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Role overview

Why This Role Matters.

Your Impact

Deliver Enterprise Value

Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.

Collaboration

Work Across Teams

Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.

Growth

Learn Continuously

Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.

Career Path

Grow With Ubique

Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.

Responsibilities

What You'll Be Doing.

Every role at Ubique contributes directly to solving meaningful business challenges for our clients.

Define and maintain enterprise and solution-level information architecture for healthcare data platforms.

Translate business and analytical requirements into logical, conceptual, and physical data models.

Design scalable data structures, data domains, data products, and integration patterns.

Define data flows across source systems, cloud platforms, analytical layers, and downstream consumers.

Establish architecture standards for data ingestion, transformation, storage, consumption, and lifecycle management.

Support the development of reusable and scalable data architecture patterns.

Design and implement scalable data architectures using Snowflake.

Define Snowflake database, schema, warehouse, role, and data-sharing strategies.

Design solutions for structured and semi-structured healthcare data.

Optimize data models and workloads for performance, scalability, and cost.

Establish appropriate patterns for data security, access control, data retention, and environment management.

Define transformation architecture and development standards using dbt.

Technology stack

Tools & Technologies.

The platforms and technologies you'll use to build modern, enterprise-grade solutions.

Snowflake

Required

Snowflake Cortex

Required

dbt

Required

SQL

Required

Python

Required

AWS

Required

S3

Required

RDS

Required

Redshift

Required

Lambda

Required

IAM

Required

Glue

Required

CloudWatch

Required

CI/CD

Required

Git

Required

GitHub Actions

Required

Jenkins

Required

Infrastructure as Code

Required

ELT

Required

data modeling

Required

Requirements

Skills & Experience.

We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.

Essential

Required Qualifications

Enterprise information architecture and data architecture (logical/conceptual/physical modeling)

Hands-on Snowflake architecture and implementation

dbt (ELT/transformation architecture, standards, models, macros, tests, documentation)

Advanced SQL (complex queries, transformations, stored procedures, analytical models)

Strong Python for data processing/automation/validation/orchestration/integration

AWS cloud and data services (S3, RDS, Redshift, Lambda, IAM, Glue, CloudWatch)

Data warehousing, data lakes/lakehouse concepts, modern data platforms

Enterprise-scale data pipelines and integration architecture patterns

CI/CD, Git, automated testing, DevOps practices for data platforms

Data governance, metadata, lineage, data quality, security and access control frameworks

Architecture documentation and stakeholder communication

Document intelligence / intelligent data extraction (OCR, parsing, entity extraction, summarization) for sensitive healthcare documents

Preferred

Nice to Have

Snowflake security features (RBAC, dynamic masking, row-level security, secure data sharing)

dbt snapshots, incremental models, lineage features

CI/CD tooling (GitHub Actions, Jenkins or similar)

Data catalog/metadata management/governance tools

APIs, event-driven architectures, cloud integration patterns

Snowflake Cortex / GenAI experience for document pipelines

What you'll gain

More Than Just A Job.

We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.

Global Exposure

Collaborate with international clients and multicultural teams on enterprise programmes.

Continuous Learning

Expand your expertise through mentoring, certifications and hands-on project experience.

Career Growth

Take ownership, develop leadership skills and grow your consulting career over time.

Flexible Working

Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.

People First

Join a supportive culture where collaboration, respect and long-term relationships come first.

Enterprise Projects

Work on meaningful technology initiatives for leading organisations across industries.

Apply

Apply for Data Architect / Data Platform Architect (Snowflake, dbt, AWS)

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