Dataeconomy

Data Modeler

Dataeconomy

Pune City, Maharashtra, IndiaFull timePosted Jan 8, 2026

Job description

Job Title: Data Modeler Experience Level: 7 - 10 years Location: Pune Qualification: BTech/MTech/MCA Mode of Work: Hybrid Job Summary We are seeking an experienced Data Vault Modeler / Data Architect to lead the design and implementation of enterprise-scale Data Vault 2.0 solutions within banking, risk, and regulatory data domains.

The ideal candidate will have strong hands-on expertise in conceptual, logical, and physical data modeling, deep understanding of banking and financial services, and the ability to collaborate across business, risk, and data-engineering teams to deliver scalable, auditable, and compliant data architectures.

Key Responsibilities

Data Modeling & Architecture

  • Lead the design and implementation of enterprise-scale data models using Data Vault 2.0 methodology, including Hubs, Links, and Satellites.
  • Develop and maintain conceptual, logical, and physical data models to support banking, risk, finance, and regulatory reporting use cases.
  • Ensure data models are scalable, auditable, and compliant with regulatory and internal governance standards. Banking, Risk & Regulatory Alignment
  • Collaborate closely with business, risk, finance, and compliance stakeholders to translate requirements into robust data-vault structures.
  • Support regulatory and risk initiatives such as BCBS 239, risk aggregation, financial controls, and regulatory reporting.
  • Design data models that enable traceability, lineage, and auditability across source systems and downstream consumption layers. Standards, Governance & Metadata
  • Define, document, and enforce data modelling standards, naming conventions, historization rules, and data-vault best practices.
  • Ensure strong alignment between source-to-vault and vault-to-consumption layers.
  • Work with metadata, lineage, and data-governance teams to ensure consistency and transparency across the data ecosystem. ETL / ELT & Analytics Enablement
  • Support ETL/ELT development teams by providing optimized vault designs, source-system mappings, and transformation guidance.
  • Advise on performance optimization, data-quality controls, reconciliation, and error-handling mechanisms.
  • Enable downstream analytics, reporting, and consumption layers by ensuring high-quality, well-structured vault models. Collaboration & Communication
  • Act as a subject-matter expert for data modelling and Data Vault architecture.
  • Communicate complex data concepts clearly to both technical and non-technical stakeholders.
  • Participate in design reviews, architecture discussions, and solution governance forums.

Requirements

Technical Skills

  • Strong experience in data modeling, with hands-on Data Vault 2.0 knowledge (Hubs, Links, Satellites).
  • Good experience working with SQL-based data modelling tools (DBM tools).
  • Strong SQL knowledge and understanding of relational database concepts.
  • Experience supporting ETL/ELT pipelines and data-warehouse architectures. Domain Expertise
  • Strong understanding of Banking & Financial Services domains.
  • Hands-on exposure to risk, finance, and regulatory data.
  • Familiarity with BCBS 239, regulatory reporting, and audit requirements is a strong advantage. Soft Skills
  • Good communication and stakeholder-management skills.
  • Ability to work effectively in cross-functional teams.
  • Strong analytical, documentation, and problem-solving capabilities. Preferred / Nice to Have
  • Experience working in large-scale enterprise or regulatory programs.
  • Exposure to cloud data platforms (AWS, Azure, GCP).
  • Knowledge of data governance, metadata management, and lineage tools.
  • Certification or formal training in Data Vault modeling.

Benefits

Health insurance of INR 5.0 Lakhs for you and your family (up to 6 members), ensuring complete peace of mind. Robust Protection Plans: Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones. Retirement Benefits: PF and Gratuity provided as per standard government regulations.

Flexible Work Options: Enjoy hybrid work arrangements & flexible working hours Generous Leave Policy: 21 days of annual leave, in addition to 10 company-declared holidays. Employee Well-being Spaces: Access to a dedicated break-out area with round-the-clock refreshments for relaxation and rejuvenation.