Data Architect; Snowflake​/dbt​/Matillion​/Python​/Terraform, Azure Cloud

Puesto: Data Architect (Snowflake / dbt / Matillion / Python / Terraform, Azure Cloud)
Location: La Unión

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

remote

European Union Requirements Strong  experience designing and delivering enterprise-scale cloud data platforms

Deep hands-on experience with Snowflake, including architecture, performance optimization, security, workload management, and cost optimization

Experience with Data Vault 2.0.

Experience with Data Mesh, including domain ownership, data products, federated governance, and data contracts

Strong experience with dbt for data transformation, modelling, testing, documentation, and CI/CDHands-on experience with Matillion for data ingestion, orchestration, and integration

Strong SQL skills and good Python experience

Experience with data activation and reverse ETL use cases

Strong understanding of data governance, quality, lineage, metadata, observability, security, and access-control principles

Experience with CI/CD, Git-based development, automated testing, and Data Ops practices

Strong communication skills with the ability to translate business requirements into scalable architectural solutions

Nice to have

Experience with infrastructure-as-code tools such as Terraform and Azure

Experience with Snowpark, stored procedures, tasks, streams, or other Snowflake-native development patterns

Experience improving pipeline reliability through automated testing, monitoring, alerting, or operational dashboards

Experience working in Agile delivery environments with distributed or cross-functional teams

Responsibilities

Define and evolve the architecture for a modern Snowflake-based enterprise data platform

Design end-to-end data solutions covering ingestion, transformation, modelling, governance, consumption, 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, including domain ownership, data products, and federated governance

Design scalable ingestion and transformation patterns for batch, incremental, API, SaaS, database, file-based data Define data modelling standards across Raw Vault, Business Vault, dimensional models and analytical data products

Design data activation and reverse ETL patterns for operational platforms

Optimize Snowflake architecture for performance, scalability, security, reliability, and cost Define standards for data quality, lineage, metadata, observability, access control, and governance

Drive CI/CD, Data Ops, automated testing, and infrastructure-as-code practices across the data platform

Provide architectural guidance, review technical designs, and support engineering teams with complex platform and data challenges

We offer

Projects for such clients as Pay Pal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills

Career development system with clear skill qualifications

Flexible working hours aligned to your schedule

Options to work remotely

Corporate medical insurance covering services of private and public medical centers

English courses online

Corporate parties and events for employees and their children

Internal conferences, workshops and meetups for learning and experience sharing

Gym membership compensation5 days of paid sick leave per year with no obligation to submit a sick-leave certificate

Any questions?