Technical Specialist - Data Modelling

3 - 6 years

6 - 11 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Job Description

About the OpportunityJob Type: PermanentApplication Deadline: 30 September 2025Title: Technical Specialist - Data Modelling

Department: Enterprise Data & Analytics

Location: Bangalore

Reports To: Project Manager

Grade/Level : 4

Working Shift : UK Hours (12-21 Hrs IST)

Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our Enterprise Data & Analytics team and feel like youre part of something bigger.

About your team

The Enterprise Data & Analytics team will be responsible for enhancing data governance and maturity by capturing critical data elements and metadata, defining data quality rules, and developing data models. This teams capabilities will encompass Data Management, Data Governance, Data Quality, Data Architecture, and Reporting. Additionally, the team will ensure the adoption of appropriate tools, enforce standards, and deliver foundational capabilities.

About your role

This role engages across business and technology teams for alignment on the data modelling standard and practices. The role is expected to communicate/collaborate with senior level employees as well as technical product & service owners and be able to work across all levels of the FIL enterprise. This function will be responsible for understanding business, data & technology services with a view to create a strategic approach to data modelling and its adoption.

About you

Key Responsibilities:

  • Collaborate with stakeholders and cross-functional teams to understand data requirements and design appropriate data models that align with business needs.
  • Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models.
  • Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality.
  • Evaluate and recommend data modelling tools and technologies to improve efficiency and accuracy of data modelling processes.
  • To develop, maintain and promote the Enterprise Data Modelling Standards & Procedures
  • To maintain the Enterprise Data Model Repository, in partnership with the business unit lead data modellers
  • To develop and maintain the Enterprise Data Modelling Operating Model
  • Open to work in UK Hours shift (12-21 Hrs IST)

Essential Skills

  • Strong demonstrable experience in developing and implementing data models, particularly dimensional data models and third normal form models with 8-10 years Exp. In same.
  • Project Delivery - candidate should have experience in End-End Model design, Development and Delivery of appropriate Target Data Models on at least 2-3 different projects.
  • Modelling Tool - Working experience on one of the Enterprise modelling tools - ER Studio, Erwin, Power Designer, EA Sparx etc.
  • Good basic understanding of the Asset Management business (2-4 years)
  • Clear understanding of, and the differences between, conceptual, logical and physical models
  • The desire and ability to lead data model reviews and resolve design issues as required
  • The desire and ability to develop and maintain Enterprise Data Modelling Standards & Procedures
  • The desire and ability to work with business unit delivery teams to ensure Enterprise Data Modelling Standards & Procedures are followed.
  • Should be confident & must have excellent communication skills.
  • Excellent opportunity to work on emerging data technologies and learn with highly energised technical and engineering community, creating an environment of collaborative learning, sharing and positive challenge.
  • Work in highly meritocratic set-up where excellence is suitably enabled, supported, and rewarded.
  • Ability to work on mission critical, enterprise grade financial services systems which support millions of customers.
  • Exposure to work towards our technical strategy which has taken on the challenge of relentless simplification, cloud onboarding, modern technologies and ways of working/problem solving.

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Fidelity International

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