Lead Data Engineer - Data Modeler

svb; Bengaluru; Hybrid; INR 450,000 - 750,000; Full time

Job summary

FC Global Services India LLP (First Citizens India) in Bengaluru seeks a Lead Data Engineer to spearhead enterprise-wide data modeling, governance, and cloud-focused data platform initiatives. The role centers on designing scalable data models and partnering with business and technology leaders to deliver trusted data assets.

You will mentor teams, enforce modeling standards, and drive data modernization while aligning architecture with business objectives and regulatory requirements.

Qualifications

• 9+ years of experience in enterprise data modeling, data architecture, data governance, and information management.
• Deep expertise with conceptual, logical, and physical data modeling.
• Experience in data warehouse and lakehouse modeling; canonical and domain data models.

Responsibilities

• Design and maintain conceptual, logical, and physical data models for enterprise data platforms and business applications.
• Lead data modeling activities across multiple projects and business domains.
• Ensure data models support reporting, analytics, and operational needs.
• Apply Dimensional Modeling, Data Vault 2.0, and normalized data modeling techniques.
• Collaborate with architects and engineering teams to ensure scalable data designs.

Skills

Data modeling

Data architecture

Data governance

Information management

Dimensional modeling

Data Vault 2.0

Job description

FC Global Services India LLP (First Citizens India), a part of First Citizens BancShares, Inc., a top 20 U.S. financial institution, is a global capability center (GCC) based in Bengaluru. Our India-based teams benefit from the company's over 125-year legacy of strength and stability. First Citizens India is responsible for delivering value and managing risks for our lines of business. We are particularly proud of our strong, relationship-driven culture and our long-term approach, which are deeply ingrained in our talented workforce. This is evident across all key areas of our operations, including Technology, Enterprise Operations, Finance, Cybersecurity, Risk Management, and Credit Administration. We are seeking talented individuals to join us in our mission of providing solutions fit for our clients' greatest ambitions.

Job Description:

Value Proposition

Senior data modeling with expertise in designing and governing enterprise-wide data models that transform business requirements into scalable, high-quality, and trusted data assets.

Proven ability to drive data modeling strategy, establish modeling standards, enable data-driven decision making, and influence organizational data governance practices.

Recognized as a subject matter expert who partners with business and technology leaders to deliver innovative data solutions, ensure data integrity, and build organizational data capabilities through mentorship and thought leadership.

Job Details

Position Title: Lead Data Engineer

Career Level: P3

Job Category: Manager

Role Type: Hybrid

Job Location: Bangalore

About the Team

Contributing to enterprise-wide data modeling initiatives that align data architecture with business strategy and organizational goals.

Establishing and enforcing data modeling standards, governance frameworks, and best practices to improve data quality, consistency, and trust across the enterprise.

Providing subject matter expertise for integrating diverse data sources, modern platforms, and emerging technologies while ensuring scalable and future-ready solutions.

Impact

Accelerating building of Cloud Data Platform in the enterprise

Ensuring efficient data models are built following both dimensional data modeling and data vault data modeling techniques

Driving consistent adoption and enforcement of modern data model patterns

Key Deliverables

Data Modeling and Solution Design

• Design and maintain conceptual, logical, and physical data models for enterprise data platforms and business applications.
• Lead data modeling activities across multiple projects and business domains.
• Ensure data models support business requirements, reporting, analytics, and operational needs.
• Apply appropriate modeling methodologies such as Dimensional Modeling, Data Vault 2.0, and normalized data modeling techniques.
• Collaborate with architects and engineering teams to ensure scalable and maintainable data designs.

Data Architecture Alignment

• Partner with Data Architects and Solution Architects to align data models with enterprise architecture standards.
• Contribute to the evolution of domain and canonical data models.
• Support data modernization and cloud transformation initiatives.
• Assist in integrating data from multiple source systems and platforms.
• Evaluate data design options and recommend best-fit solutions based on business and technical requirements.

Data Governance and Quality

• Adhere to enterprise data modeling standards, naming conventions, and best practices.
• Contribute to metadata management, data lineage, and data governance initiatives.
• Ensure consistency, accuracy, and integrity of data models across projects.
• Support implementation of data quality controls and governance frameworks.
• Ensure data models comply with relevant regulatory and privacy requirements.

Coaching and Knowledge Sharing

• Mentor junior and intermediate data modelers on data modeling standards and best practices.
• Conduct design reviews and provide guidance to project teams.
• Share knowledge of modern data modeling techniques and industry best practices.
• Contribute to the continuous improvement of modeling frameworks, templates, and processes.
• Support training and onboarding activities for team members.

Stakeholder Collaboration

• Work closely with business analysts, product owners, architects, engineers, and data governance teams.
• Translate business requirements into scalable and business-aligned data models.
• Facilitate data model reviews and design discussions with stakeholders.
• Communicate complex data concepts effectively to technical and non-technical audiences.
• Provide recommendations on data design decisions, trade-offs, and impacts.

Skills and Qualification

Functional Skills

• 9+ years of experience in enterprise data modeling, data architecture, data governance, and information management
• Deep expertise with: Conceptual, Logical, and Physical Data Modeling
• Enterprise Information Architecture
• Data Warehouse and Lakehouse Modeling
• Canonical and Domain Data Models

Str