[ISO] Data Architect

Software Mind

4d•Remote

About The Position

Define and govern the end-to-end data architecture that enables a scalable, secure, and business-aligned data platform — ensuring that data engineering, analytics, ML, and API initiatives are built on a coherent, future-proof foundation.

Requirements

8+ years of experience in data engineering, platform, or architecture roles
Deep expertise in designing large-scale cloud-native data platforms (AWS, Azure, or GCP)
Strong knowledge of SQL, Python, Spark, and modern data stack tooling (e.g. BigQuery Snowflake, Databricks, dbt, Kafka, Delta Lake)
Proven experience with data modelling (dimensional, Data Vault, lakehouse patterns) and API-first data design
Ability to communicate architectural decisions clearly to both technical and non-technical stakeholders

Responsibilities

Define and own the end-to-end data architecture across lake, warehouse, and real-time streaming layers
Establish architectural standards, design patterns, and best practices for all data domains
Lead technology evaluation and selection for the cloud-native data platform stack
Drive the long-term platform roadmap, including AI/ML readiness and data monetisation capabilities
Design metadata management, data lineage, and access control frameworks in line with governance requirements
Embed privacy-by-design, security, and compliance (including GDPR) at the architectural level
Act as technical authority and design partner for Data Engineers, Data Scientists, and ML Engineers
Represent data architecture in cross-functional forums, aligning platform decisions with business strategy