Lead AI & Data Architect

Type of contract: B2B contract

Salary range: 205 - 275 PLN/H

What will you do?

You will be responsible for defining and shaping the target data architecture for a large-scale cloud transformation initiative within the financial services domain. The role focuses on designing enterprise-grade data platforms on Google Cloud, establishing data governance and quality standards, creating scalable data models and integration patterns, and enabling business-critical analytics and surveillance capabilities through modern data architecture principles.

Your tasks

- Design enterprise-scale data architecture and target-state data platform solutions on GCP

- Define Bronze, Silver and Gold data lakehouse architecture patterns and standards

- Create conceptual, logical and physical data models for complex business domains

- Establish data governance frameworks, data quality controls and metadata standards

- Define integration architecture, data lineage and end-to-end data flows

- Collaborate with business and technology stakeholders to identify common data elements and enrichments

- Support the creation of analysis-ready datasets and reusable data products

- Provide architectural guidance for BigQuery-based solutions and cloud-native data platforms

- Assess cloud migration approaches and target-state architecture options

- Ensure alignment with security, IAM and regulatory requirements

- Contribute to architecture reviews, technical decision-making and best practices

Your skills

- Extensive experience in Enterprise Data Architecture

- Strong knowledge of Data Lakehouse architecture including Bronze, Silver and Gold patterns

- Hands-on experience with GCP architecture design

- Strong expertise in BigQuery

- Experience in conceptual, logical and physical data modelling

- Knowledge of data governance frameworks and data quality management

- Experience with integration architecture and data lineage practices

- Understanding of GCP security and IAM concepts

- Experience working within Financial Markets or Surveillance domains

- Strong stakeholder management and communication skills

Nice to have

- Experience with Market Abuse or Unauthorised Trading surveillance systems

- Knowledge of Vertex AI and machine learning platforms

- Experience with regulatory reporting or compliance initiatives

- Hands-on experience with Dataflow or Apache Beam

- Knowledge of Kubernetes (GKE)

- Experience with Terraform and CI/CD tooling

- Understanding of Java-based enterprise platforms