Lead - Data Architecture & AI - Delhi/NCR

Symbiosis Management Consultants

Delhi

On-site

INR 2,500,000 - 4,500,000

Full time

14 days+
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Job summary

Symbiosis Management Consultants is seeking a senior Data Architecture lead in Delhi with 8–12 years of experience. You will define an enterprise Data & AI roadmap and design scalable data lakes and data warehouses. You will lead data integration, governance and KPI reporting while mentoring analytics teams.

You will partner with business and IT teams to translate complex requirements into scalable solutions, drive GenAI use cases, and ensure best practices across security and standards.

Qualifications

  • Must have strong experience in Data Architecture and Data Engineering.
  • Experience with cloud data platforms and modern data technologies.
  • Strong exposure to Analytics, ML and GenAI.

Responsibilities

  • Define and drive enterprise Data & AI architecture and roadmap.
  • Design scalable Data Lake, Data Warehouse/Lakehouse and data pipelines.
  • Lead data integration, modelling, governance, quality, security and standards.
  • Drive BI, dashboards, self-service analytics and KPI reporting.
  • Identify and implement ML & GenAI use cases to deliver business value.
  • Partner with Business, IT and Analytics teams to translate requirements into solutions.
  • Lead architecture reviews and data platform improvements.
  • Build and mentor data/analytics teams and manage stakeholders.

Skills

Data Architecture
Data Engineering
Cloud Data Platforms
Analytics/ML/GenAI exposure
Stakeholder management
Team leadership

Education

BE/BTech

Job description

Exp 8 to 12 years

BE/B Tech is a must

Alternate Saturdays are working in this organization

Must have exp in Data Architecture

Key Responsibilities:
  • Define and drive enterprise Data & AI architecture and roadmap
  • Design scalable Data Lake, Data Warehouse/Lakehouse and data pipelines
  • Lead data integration, modelling, governance, quality, security and standards
  • Drive BI, dashboards, self-service analytics and KPI reporting
  • Identify and implement ML & GenAI use cases to deliver business value
  • Partner with Business, IT and Advanced Analytics teams to translate requirements into solutions
  • Lead architecture reviews, technology decisions and data platform improvements
  • Build and mentor data/analytics teams and manage key stakeholders
Must-Haves:
  • Strong experience in Data Architecture & Data Engineering
  • Cloud data platforms and modern data technologies
  • Data governance, modelling and integration
  • Strong exposure to Analytics / ML / GenAI
  • Stakeholder management and team leadership
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