Jobs Companies First Citizens Bank Principal Data Engineer - Data Modeler

Über diese Principal Data Engineer - Data Modeler Stelle bei First Citizens Bank

First Citizens Bank · Vor Ort · Bangalore, India

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 Preposition

  • Strategic data modeling and architecture leader 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 architecture 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:  Principal Data Engineer

Career Level:  P4

Job Category: Assistant Vice President

Role Type: Hybrid

Job Location: Bangalore  

About the Team:

Key contributor to Enterprise Data Modeling team:

Leading 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 architectural leadership for integrating diverse data sources, modern platforms, and emerging technologies while ensuring scalable and future-ready solutions.

Impact

  • Building of Cloud Data Platform in the enterprise
  • Ensuring efficient data models are built following both dimensional and data vault data modeling techniques
  • Driving consistent adoption and enforcement of modern data model patterns

Key Deliverables

Enterprise Data Modeling Strategy

  • Develop and implement enterprise-wide data modeling strategies.
  • Lead the design of complex, cross-functional data models.
  • Drive the adoption of advanced modeling techniques (e.g., Data Vault 2.0).
  • Align data modeling practices with business goals and technology roadmaps

Data Architecture Leadership

  • Provide thought leadership in data architecture and modeling
  • Collaborate with enterprise architects to define data architecture principles.
  • Lead the evaluation and implementation of emerging data technologies.
  • Develop strategies for integrating diverse data sources and platforms

Data Governance and Standardization

  • Define and enforce enterprise-wide data modeling standards.
  • Lead data governance initiatives related to data modeling and metadata management.
  • Develop strategies for maintaining data quality across the organization.
  • Ensure compliance with industry regulations and data privacy laws

Mentorship and Knowledge Leadership

  • Mentor data modeling teams and develop talent within the organization.
  • Lead advanced training sessions and workshops on data modeling best practices
  • Represent the organization at industry conferences and forums.
  • Contribute to the data modeling community through publications or speaking engagements

Stakeholder Management and Consulting

  • Advise senior leadership on data modeling strategies and their business impact.
  • Collaborate with business units to align data models with strategic initiatives.
  • Provide expert consultation on complex data modeling challenges.
  • Facilitate communication between technical and non-technical stakeholders

Skills and Qualification

Functional Skills:

  • Strong decision-making ability to evaluate options, assess trade-offs, and confidently recommend optimal solutions
  • Expertise in translating business capabilities, processes, and strategic initiatives into scalable conceptual, logical, and physical data models.
  • Strong capability to establish data standards, governance frameworks, metadata management practices, and data quality controls across the enterprise
  • Effective collaboration across business leaders, architects, engineering teams, and governance bodies to drive consensus and deliver business-aligned data solutions
  • Execution focus with the ability to translate ideas into scalable, production-ready solutions
  • Mentorship and influence to guide teams, establish best practices, and elevate overall capability

Technical Skills:

  • 14+ 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
  • Strong experience with Data Vault 2.0, Dimensional Modeling, Semantic Data Modeling and Master Data Management (MDM)
  • Proven track record of:
    • Designing enterprise-wide data models across multiple business domains
    • Leading data architecture and data modernization initiatives
    • Establishing enterprise data standards, governance frameworks, and modeling best practices
    • Driving data architecture decisions supporting analytics, AI, and digital transformation
  • Hands-on expertise with data modeling tools such as ERwin Data Modeler
  • Strong experience with modern data platforms AWS and Snowflake
  • Experience with:
    • Metadata Management and Data Lineage
    • Data Catalog and Governance Platforms
    • Data Quality Frameworks
    • Data Privacy and Regulatory Compliance
  • Hands-on knowledge of governance tools such as Collibra
  • Experience working with globally distributed teams and collaborating across business, architecture, engineering, analytics, and governance organizations.
  • Strong experience with SQL and database design
  • Preferred experience in Banking Industry

Relationships & Collaboration

  • Reports to: Associate Director
  • Partners: Data Architecture team, data modeling team, data engineering teams, security & governance teams

Accessibility Needs

We are committed to providing an inclusive and accessible hiring process. If you require accommodations at any stage (e.g. application, interviews, onboarding) please let us know, and we will work with you to ensure a seamless experience.

Equal Employment Opportunity

FC Global Services India LLP (First Citizens India) is an Equal Employment Opportunity Employer. We are committed to fostering an inclusive and accessible environment and prohibit all forms of discrimination on the basis of gender, religion, caste, disability, sexual orientation, economic status or any other characteristics protected by the law. We strive to foster a safe and respectful environment in which all individuals are treated with respect and dignity. Our EEO policy ensures fairness throughout the employee life cycle.

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Über First Citizens Bank

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 Adminis

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