Vice President - Core Engineering (Data Architect) job opportunity at Goldman Sachs.

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Goldman Sachs Vice President - Core Engineering (Data Architect)
Experience: 14-years
Pattern: full-time
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Status:

Data Architect

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degreeBachelor's (B.Sc.)
loacation Bengaluru, Karnataka, India
loacation Bengaluru, Kar..........India

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. __ Advanced Data Modeling & Database Design: Lead the design and maintenance of conceptual, logical, and physical data models for various data stores, optimizing for performance, scalability, and flexibility. __ #Technology Evaluation & Adoption: Continuously evaluate emerging data technologies, tools, and industry trends (e.g., open table formats, AI-powered data tools) to recommend and lead their adoption, driving innovation and efficiency within the data landscape. __ Performance Optimization & Scalability: Proactively identify and resolve complex data-related performance bottlenecks, ensuring optimal performance and scalability of data platforms and solutions to support growing data volumes and analytical demands. __ Technical Leadership & Mentorship: Provide expert technical guidance, mentorship, and leadership to #dataengineering and analytics teams, fostering best practices in data architecture, development, and operational excellence. __ Cross-Functional Collaboration & Stakeholder Management: Collaborate extensively with business stakeholders, product teams, #softwareengineers, and #IT operations to translate complex business requirements into effective data solutions and ensure alignment with organizational goals. __ Incident Response & Troubleshooting: Oversee the resolution of critical data-related incidents, perform root cause analysis, and implement preventative measures to ensure high availability and reliability of data systems.

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