Data Engineer, Analytics Engineering, VP
NatWest GroupMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessSenior VP role with Tier-1 bank in Gurugram, niche analytics skills reduce applicants but brand and location increase competition.
Role demands deep analytics engineering, Snowflake/dbt expertise and financial services governance, limiting cross-industry portability.
Mandatory 15+ years and specific Snowflake, dbt, governance expertise makes shortlisting highly stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design and governance of complex cross-domain data models and trusted data products to align with enterprise and business objectives.
Drive automation and embedding of advanced data engineering pipelines, including streaming data ingestion and transformations.
Provide strategic and technical leadership in analytics engineering, setting standards, governance frameworks, and best practices for Personal Banking & Wealth Management (PBWM).
Minimum Requirements
At least 15 years experience in Analytics Engineering, Data Architecture, Data Modelling, or related fields.
Expertise in canonical and semantic data modelling, data product governance, and enterprise-scale analytics engineering using technologies like Snowflake and dbt.
Experience with cloud-native analytical platforms on AWS including S3, Glue, Athena, IAM, and governance; knowledge of data governance frameworks and regulatory compliance such as GDPR.
Work location must be in India; specific experience in Financial Services, ideally PBWM, preferred but not explicitly mandatory.
Ideal Candidate Profile
Senior leader with deep technical expertise in analytical data architecture and hands-on experience in enterprise-scale, governed environments.
Experienced in collaborating with business and technology stakeholders to align data strategy with regulatory, privacy, and governance requirements in Financial Services.
Proven ability to establish DataOps practices, CI/CD pipelines, and drive innovation in analytics engineering within a large regulated organisation.