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Coimbatore · On-site · 9-12 Yrs · Oct 7
1 views
21 open roles4 posted in 7d21 in 30d
Hiring: Engineering
Job description
Overview
Project Role : Data Platform Engineer
Responsibilities
- Drive discussions with clients deal teams to understand business requirements, how Data Model fits in implementation and solutioning
- Develop the solution blueprint and scoping, estimation in delivery project and solutioning
- Drive Discovery activities and design workshops with client and lead strategic road mapping and operating model design discussions
- Design and develop Data Vault 2.0-compliant models, including Hubs, Links, and Satellites.
- Design and develop Raw Data Vault and Business Data Vault.
- Work with source system analysts to understand data structures and lineage.
- Ensure conformance to data modeling standards and best practices.
- Collaborate with ETL/ELT developers to implement data models in a modern data warehouse environment (e.g., Snowflake, Databricks, Redshift, BigQuery).
- Optimize data architecture for performance, scalability, and reliability.
- Support data governance, quality, and master data management initiatives.
- Participate in code reviews, modeling workshops, and agile ceremonies (if applicable).
Qualifications
- Overall IT experience (No of years) - 9+
- Data Modeling Experience - 5+
- Data Vault Modeling Experience - 3+
- Must be familiar with Data Architecture Principles.
- Excellent SQL skills.
Nice to have
- Minimum 7.5 Year(s) Of Experience Is Required
- 9+ year overall IT experience, 5+ years in Data Modeling and 3+ years in Data Vault Modeling
- Design and development of Raw Data Vault and Business Data Vault.
- Strong understanding of Data Vault 2.0 methodology, including business keys, record tracking, and historical tracking.
- Data modeling experience in Dimensional Modeling/3-NF modeling
- Hands-on experience with any data modeling tools (e.g., ER/Studio, ERwin, or similar).
- Hands-on experience in any Data Vault automation tool (e.g., Vault Speed, WhereScape, biGENIUS-X, dbt, or similar).
- Solid understanding of ETL/ELT processes, data integration, and warehousing concepts.
- Any one of these add-on skills - Graph Database Modelling, RDF, Document DB Modeling, Ontology, Semantic Data Modeling
- Preferred understanding of Data Analytics on Cloud landscape and Data Lake design knowledge.
- Cloud Data Engineering, Cloud Data Integration
- Professional Experience:
- Strong requirement analysis and technical solutioning skill in Data and Analytics
- Excellent writing, communication and presentation skills.
- Eagerness to learn new skills and develop self on an ongoing basis.
- Good client facing and interpersonal skills
Education
- ~ B.E or B.Tech must .
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Job application FAQ
Last updated 15 October 2026
- How do I apply for Cloud Data Platform Engineer at Accenture?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Accenture may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Cloud Data Platform Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Cloud Data Platform Engineer remote or on-site in Coimbatore, Tamil Nadu?
- This listing is marked on_site with location Coimbatore, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Cloud Data Platform Engineer role at Accenture?
- This is a mid-level Cloud Data Platform Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.