Data Architect (Snowflake / dbt / Matillion / Python / Terraform, Azure Cloud)

Itransition Group; La Unión; Presencial; EUR 95.000 - 140.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work with international teams

Private medical insurance

English courses online

Training & conferences

Flexible working hours

Descripción de la vacante

Itransition Group seeks a Data Architect to lead the design and evolution of a Snowflake-based enterprise data platform supporting ingestion, transformation, governance, analytics, data activation, and reverse ETL. You will implement Data Vault 2.0 and Data Mesh patterns, collaborate with cross-functional teams, and drive scalable, secure, and automated data solutions across the organization.

The role combines strategic thinking with hands-on engineering to ensure a scalable, governed platform

Formación

• Strong experience designing and delivering enterprise-scale cloud data platforms.
• Hands-on with Snowflake including architecture, performance optimization, security, and cost optimization.
• Experience with Data Vault 2.0 and Data Mesh concepts and governance patterns.
• Proficient in dbt for data transformation, modelling, testing, and CI/CD.
• Hands-on with Matillion for ingestion, orchestration, and integration.
• Strong SQL skills and good Python experience.
• Experience with data activation and reverse ETL use cases.
• Knowledge of data governance, lineage, metadata, observability, security, and access-control principles.
• Familiarity with CI/CD, Git-based development, automated testing, and DataOps.

Responsabilidades

• Define and evolve the architecture for a modern Snowflake-based enterprise data platform.
• Design end-to-end data solutions covering ingestion, transformation, governance, and activation.
• Establish architecture standards and reusable patterns across Snowflake, dbt, Matillion, Python, and Terraform.
• Define and govern Data Vault 2.0 and Data Mesh implementation patterns.
• Design scalable ingestion and transformation patterns for multiple data sources.
• Define data modelling standards across Raw Vault, Business Vault, and analytical products.
• Design data activation and reverse ETL patterns for operational platforms.
• Optimize Snowflake for performance, scalability, security, and cost.
• Drive CI/CD, DataOps, automated testing, and infrastructure-as-code practices.
• Provide architectural guidance and review designs with engineering teams.

Conocimientos

Snowflake

dbt

Matillion

Python

Terraform

SQL

Data Vault 2.0

Data Mesh

Data governance

CI/CD

Descripción del empleo

We're looking for a Data Architect to lead the design and evolution of a modern enterprise data platform built around Snowflake. The platform supports end-to-end data capabilities across ingestion, transformation, modelling, governance, analytics, data activation, and reverse ETL use cases. Snowflake,, dbt, Matillion, Python, and Terraform form the core of the technology stack, with Data Vault and Data Mesh principles playing a key role in how data is modelled, governed, owned, and delivered across business domains. You'll be responsible for defining scalable architecture patterns, designing robust data models and integration frameworks, establishing governance and platform standards, and enabling trusted data products that can support analytics, operational applications, customer-facing use cases, and downstream activation platforms. This is a hands-on architecture role for someone who combines strategic thinking with strong engineering expertise. You'll work closely with data engineering, analytics, cloud, security, architecture, and business teams to define standards, guide implementation, and ensure the platform remains scalable, secure, governed, and maintainable.office remoteEuropean UnionRequirementsStrong experience designing and delivering enterprise-scale cloud data platformsDeep hands-on experience with Snowflake, including architecture, performance optimization, security, workload management, and cost optimizationExperience with Data Vault 2.0.Experience with Data Mesh, including domain ownership, data products, federated governance, and data contractsStrong experience with dbt for data transformation, modelling, testing, documentation, and CI/CDHands-on experience with Matillion for data ingestion, orchestration, and integrationStrong SQL skills and good Python experienceExperience with data activation and reverse ETL use casesStrong understanding of data governance, quality, lineage, metadata, observability, security, and access-control principlesExperience with CI/CD, Git-based development, automated testing, and DataOps practicesStrong communication skills with the ability to translate business requirements into scalable architectural solutionsNice to haveExperience with infrastructure-as-code tools such as Terraform and AzureExperience with Snowpark, stored procedures, tasks, streams, or other Snowflake-native development patternsExperience improving pipeline reliability through automated testing, monitoring, alerting, or operational dashboardsExperience working in Agile delivery environments with distributed or cross-functional teamsResponsibilitiesDefine and evolve the architecture for a modern Snowflake-based enterprise data platformDesign end-to-end data solutions covering ingestion, transformation, modelling, governance, consumption, and activationEstablish architecture standards and reusable patterns across Snowflake, dbt, Matillion, Python, and TerraformDefine and govern Data Vault 2.0 and Data Mesh implementation patterns, including domain ownership, data products, and federated governanceDesign scalable ingestion and transformation patterns for batch, incremental, API, SaaS, database, file-based dataDefine data modelling standards across Raw Vault, Business Vault, dimensional models and analytical data productsDesign data activation and reverse ETL patterns for operational platformsOptimize Snowflake architecture for performance, scalability, security, reliability, and costDefine standards for data quality, lineage, metadata, observability, access control, and governanceDrive CI/CD, DataOps, automated testing, and infrastructure-as-code practices across the data platformProvide architectural guidance, review technical designs, and support engineering teams with complex platform and data challengesWe offerProjects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and ToyotaCompetitive compensation that depends on your qualification and skillsCareer development system with clear skill qualificationsFlexible working hours aligned to your scheduleOptions to work remotelyCorporate medical insurance covering services of private and public medical centersEnglish courses onlineCorporate parties and events for employees and their childrenInternal conferences, workshops and meetups for learning and experience sharingGym membership compensation5 days of paid sick leave per year with no obligation to submit a sick-leave certificateAny questions?[e-mail]