Lead Data Engineer - Snowflake Platform

First Citizens India (FC Global Services India LLP); Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

FC Global Services India LLP (First Citizens India) in Bengaluru is seeking a Lead Data Engineer to lead the design and maintenance of large-scale data platforms, data lakes, and cloud-ready pipelines. You will drive ETL/ELT processes, RBAC governance, and data quality initiatives while collaborating with global teams across time zones.

The role reports to the Senior Manager - Data Engineering and requires 10+ years in data warehousing with Snowflake and AWS expertise.

Qualifications

• 10+ years of experience in data warehousing and data lakes.
• Hands-on experience with enterprise data platforms and data pipelines.
• Strong SQL and Python skills for data processing.
• Experience with RBAC and security controls in Snowflake.

Responsibilities

• Design and maintain enterprise data platform and pipelines.
• Ensure data security, governance, RBAC, and data quality controls.
• Deliver scalable data integration across EDW/ODS/Data Marts.
• Collaborate with Product Owners and global technology teams.
• Lead and review work of Data Engineering associates.

Skills

Data Platform Design

ETL/ELT pipelines

Snowflake

AWS Cloud

RBAC & Security

SQL

Python scripting

Unix

Data Governance

Data Observability

Tools

Snowflake

AWS

DBT

Qlik Replicate

Snowpark

Postgres

GitLab CI/CD

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

• Lead the development and maintenance of large-scale data platforms, data lakes and cloud solutions.
• Responsible for designing and building data pipelines for enterprise data through ETL/ELT processes.

Job Details

Position Title: Lead Data Engineer

Career Level: P3

Job Category: Manager

Role Type: Hybrid

Job Location: Bangalore

About the Team:

The data engineering team is community of dedicated professionals committed to designing, building, and maintaining data platform solutions for the organization.

Impact

Enterprise data warehouse supports several critical business functions for the bank including Regulatory Reporting, Finance, Risk steering, and Customer 360. This role is vital for building and maintaining enterprise data platform, data processes, and to support business objectives. Our values — inclusivity, transparency, and excellence — drive everything we do. Join us and make a meaningful impact on the organization.

Key Deliverables

• Hands‑on experience in designing, implementing, and maintaining data platform that supports data integrations for Enterprise Data Warehouse, Operational Data Store or Data Marts etc. with appropriate data access, data security, data privacy and data governance.
• Hands‑on experience in designing, implementing data controls and quality assurance mechanisms aligned with enterprise governance standards including role‑based access control (RBAC) reconciliation, anomaly detection, and remediation tracking.
• Establish enterprise‑scale data integration procedures, data pipelines and frameworks across the data development life cycle. Suggest and implement appropriate technologies to deliver resilient, scalable, and future‑proof data solutions.
• Create data ingestion pipelines in data warehouses and other large‑scale data platforms.
• Creating scheduled as well as trigger‑based ingestion patterns using scheduling tools.
• Create performance optimized DDLs for any row‑based or columnar databases such as Snowflake, Oracle, Postgres database per Logical Data Model.
• Performance tuning of complex data pipelines and SQL queries.
• Performs impact analysis of proposed changes on existing architecture, capabilities, system priorities, and technology solutions.
• Manage deliverables of developers, perform design reviews and coordinate release management activities.
• Estimate and provide timelines for project activities. Identify, document, and communicate technical risks, issues and alternative solutions discovered during project.
• Drive automation, identify inefficiencies, optimize processes and data flows, and recommend improvements.
• Use agile engineering practices and various data development technologies to rapidly develop and implement efficient data products.
• Collaborate with Product Owners to understand PI goals, PI planning, requirement clarification, and delivery coordination.
• Technical support for production incidents and failures
• Work with global technology teams across different time zones (primarily US) to deliver timely business value.

Skills and Qualification

Functional Skills:

• Team Player: Support peers, team, and department management.
• Communication: Excellent verbal, written, and interpersonal communication skills.
• Problem Solving: Excellent problem‑solving skills, incident management, root cause analysis, and proactive solutions to improve quality.
• Partnership and Collaboration: Develop and maintain partnership with business and IT stakeholders
• Attention to Detail: Ensure accuracy and thoroughness in all tasks.

Technical/Business Skills:

• Data Engineering: 10+ Years experience in designing and building Data Warehouse and Data lakes. Good knowledge of data warehouse principles, and concepts.
• Strong knowledge of Snowflake data platform and solutions for enterprise level implementation
• Technical expertise of AWS cloud related services such as S3, Lamda, Glue, Step Function, CloudWatch, etc.
• Setting up role‑based access controls (RBAC) in Snowflake
• Experience in Data control, Observability frameworks, Tools/ Technologies
• Data integration skills: Technical expertise in ELT/ETL tools such as DBT, Qlik Replicate, Snowpark, etc.
• Expertise in design and development of complex data pipelines
• Expert in SQL
• Experience with Unix and Python scripting
• Strong knowledge of data architecture, data design patterns, modeling, and cloud data solutions (Snowflake, AWS Redshift).
• Data Model: Expertise in Logical and Physical Data Model using Relational, Dimensional or Data Vault Modeling practices with high volume ETL/ELT processes.
• Performance tuning of data pipelines and DB Objects to deliver optimal performance.
• Experience in Gitlab version control and CI/CD processes.
• Experience working in Financial Industry is a plus.
• Experience working with Data Observability tools

Relationships & Collaboration

• Reports to: Senior Manager - Data Engineering
• Partners: Senior leaders and cross-functional teams
• Leads: A team of Data Engineering associates

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.