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

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.

Key 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, DataOps, 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.

Required Skills & Experience

• 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/CD.

• Hands-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 DataOps practices.

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

Accelerators

• 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.

We offer:

• Projects for such clients as PayPal, 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