Junior Data Architect

Responsibilities

Data Architecture & Modeling

Define and maintain risk management data models, including functional entities and processes, across Resolver and associated applications.

Develop conceptual, logical, and physical data models.

Contribute to enterprise data cataloging and metadata management.

Ensure alignment with the client's data standards and architecture principles.

Data Governance & Quality

Support implementation of data governance policies and standards.

Ensure compliance with security, privacy, and regulatory requirements.

Define and monitor data quality controls, KPIs, and remediation processes.

Support data ownership and stewardship practices.

Integration & Data Flows

Design and document data flows between Resolver, Optro, enterprise platforms, and Group data lakes.

Support API, ETL, and integration initiatives.

Collaborate with the client's Digital teams to ensure sustainable and scalable integrations.

Participate in architecture reviews and accreditation activities.

Analytics & AI Enablement

Enable reporting, analytics, and AI use cases through high-quality data foundations.

Collaborate with business analysts, data engineers, and data scientists.

Support data availability for governance and risk performance dashboards.

Architecture Documentation

Maintain architecture documentation, data lineage, metadata, and technical standards.

Document key design decisions and support architecture governance processes.

Identify opportunities to modernize data architecture and integration patterns.

Stakeholder Collaboration

Translate business needs into scalable technical solutions.

Work closely with Product Owners, Solution Architects, Data Domains, and business stakeholders.

Facilitate alignment between governance functions and technical teams.

Experience & Skills

Technical skills

Required:

Data modeling (Conceptual, Logical, Physical)

SQL and relational databases

Data integration and ETL/ELT concepts (Informatica, Talend)

API-based integrations

Cloud data platforms (Snowflake, Databricks, Azure, AWS, or GCP)

Data governance and metadata management

Nice to have:

SaaS platform integrations

Data catalog tools

Data lineage solutions

Power BI or Tableau

Knowledge of AI/GenAI data foundations

Risk Management, GRC, Audit, or Compliance platforms

Business & transversal skills

Strong problem-solving and analytical mindset

Ability to translate or align business and data backend requirements

Ability to work in a complex, cross-functional global environment.

Effective communication and presentation skills.

Ability to manage ambiguity and evolving business requirements.

Strong collaboration and influencing skills.

Experience

3 to 5 years of experience in Data Architecture, Data Engineering, Data Integration, or related disciplines.

Experience collaborating with both business and technical stakeholders.

Exposure to data governance, metadata management, or regulatory environments is a plus.

Experience working with enterprise data ecosystems and SaaS applications.