Key responsibilities

Data Modelling — Create and maintain conceptual, logical, and physical models using ER, dimensional, and Data Vault frameworks.
Functional Analysis — Translate business requirements into data mapping and transformation rules.
ETL/ELT Collaboration — Work with engineers to implement models and validate logic in Python, PySpark, and SQL.
Data Governance — Maintain metadata, dictionaries, and ensure compliance with standards.
Stakeholder Communication — Bridge business and technical teams, using Jira and Confluence for Agile delivery.
Continuous Improvement — Apply best practices and stay updated on modelling and cloud technologies.
Key Skills & Competencies — Technical Skills
Foundations in data modelling (ER, dimensional, normalization).
Good understanding of functional requirements gathering and mapping.
Knowledge of:
Python (data transformation logic)
PySpark (distributed compute basics)
SQL (querying, transformation logic)
Familiarity with ETL/ELT concepts and data pipeline orchestration.
Exposure to modelling tools (PowerDesigner, ERWin, Lucidchart, dbt).
Basic knowledge of databases (SQL & NoSQL) and cloud data platforms (Azure preferred).
Experience with Agile tools — Jira, Confluence Functional Skills
Ability to understand business processes, data flows, and KPIs.
Experience documenting functional rules, data mappings, and use cases.
Strong analytical, problem-solving, and communication skills.
Ability to collaborate with business stakeholders and technical teams in an Agile Scrum environment. #LI-EU Experience/Background:
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related fields.
1–3+ years of experience in data engineering, BI, functional analysis, or data management.
Exposure to ETL/ELT and cloud platforms (Azure/AWS/GCP).
Experience with Python or PySpark is an advantage.

What the company offers

Competitive salary and benefits package.
Opportunities for continuous learning and professional growth.
A collaborative and inclusive work environment.
Exposure to cutting-edge technologies and innovative projects.
Supportive leadership and career development programs.
If you are a passionate data engineer eager to make a significant impact at Accenture, we would love to hear from you.
About Accenture — Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.
We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries.
Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships.
We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability.
Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships.
We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.
Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Sourced from Workday CXS

About 3600 Accenture Srvcs (MU) Ltd Company

Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. The Data Architect combines expertise in data modelling , functional analysis , and data engineering to design and maintain enterprise data structures. This role translates business needs into conceptual, logical, and physical data models , working with Data Engineers , Functional SMEs , and Product Owners in an Agile Scrum team . Proficiency in ETL/ELT, Python, PySpark, Agile practices , Jira , and Confluence is required for effective collaboration and documentation. Why You’ll Love This Role • Shape the Future of Data: Design models that power critical business decisions. • Collaborative Agile Environment: Work with Product Owners and Data Engineers in a Scrum team. • Hands-On with Modern Tools: Use Python, PySpark, SQL, and top modelling tools. • Career Growth: Progress toward a Senior Data Architect role. • Future-Proof Your Career: Data architecture remains a strategic, human-driven function even as technology evolves.

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