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Vice President - Core Engineering (Data Architect)
Goldman Sachs
Bengaluru, IND
Full-time
Senior · 14+ years experience
Onsite
Discovered 3 weeks ago
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Role Overview
The Senior Data Engineer / Data Architect will serve as a technical leader and subject matter expert, responsible for defining, designing, and overseeing the implementation of enterprise-level data strategies, architectures, and solutions. This role demands extensive experience in managing complex data environments, a strategic mindset to align data initiatives with business objectives, and the ability to lead, mentor, and influence cross-functional teams to foster a data-driven culture. The incumbent will ensure data integrity, accessibility, security, and compliance across the organization's data assets.
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Job Summary
The Senior Data Engineer / Data Architect will serve as a technical leader and subject matter expert, responsible for defining, designing, and overseeing the implementation of enterprise-level data strategies, architectures, and solutions. This role demands extensive experience in managing complex data environments, a strategic mindset to align data initiatives with business objectives, and the ability to lead, mentor, and influence cross-functional teams to foster a data-driven culture. The incumbent will ensure data integrity, accessibility, security, and compliance across the organization's data assets.
Key Responsibilities
- Strategic Data Architecture & Roadmapping: Lead the development and execution of the organization's overarching data strategy and architectural roadmap, including data governance frameworks, data modeling, data warehousing, data lakes, and real-time data platforms.
- Complex Data System Design & Implementation: Architect and design highly scalable, robust, and fault-tolerant data pipelines and platforms for large-scale data ingestion, processing (batch and real-time), storage, and consumption. This includes selecting appropriate technologies and patterns (e.g., data mesh, data fabric, zero-ETL).
- Data Governance & Quality Leadership: Define and implement comprehensive data governance policies, standards, and best practices to ensure data quality, consistency, security, privacy, and regulatory compliance (e.g., GDPR, HIPAA). This includes designing and maintaining data catalogs and metadata management.
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