Associate Data Architect

About the role

Join Accenture as an Associate Data Architect, helping leading organisations transform through data‑driven insights. You will work in an Agile Scrum team, collaborating with Product Owners, Data Engineers and functional SMEs to design and maintain enterprise‑wide data models that support critical business decisions.

Key responsibilities

• Design, create and maintain conceptual, logical and physical data models using ER, dimensional and Data Vault techniques.
• Translate business requirements into data mapping, transformation rules and metadata documentation.
• Partner with Data Engineers to implement models and validate ETL/ELT logic using Python, PySpark and SQL.
• Maintain data‑governance artefacts such as data dictionaries and ensure compliance with standards.
• Communicate model designs and changes to both business and technical stakeholders via Jira and Confluence.
• Continuously improve modelling practices and stay updated on cloud and data‑platform technologies.

Required profile

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering or a related field.
• 1–3+ years of experience in data engineering, business intelligence, functional analysis or data management.
• Experience gathering functional requirements and documenting data flows, KPIs and use cases.
• Strong analytical and problem‑solving abilities with effective communication skills.

Required skills

• Data modelling (ER, dimensional, normalization, Data Vault).
• Python for data transformation.
• PySpark basics for distributed processing.
• SQL for querying and transformation.
• Understanding of ETL/ELT concepts and pipeline orchestration.
• Familiarity with modelling tools such as PowerDesigner, ERWin, Lucidchart or dbt.
• Basic knowledge of relational and NoSQL databases and cloud data platforms (Azure preferred).
• Agile tools: Jira and Confluence.

What we offer

• Opportunity to work on high‑impact data projects for global clients.
• Collaborative Agile environment with career progression toward Senior Data Architect.
• Access to modern data tools and continuous learning resources.