Data Architecture Specialist

1 week ago

Pushkar, Rajasthan, India beBeeAnalytical Full time ₹ 90,00,000 - ₹ 1,20,00,000
Analytics Engineering Lead

This role requires a strong analytical mind with experience in designing and scaling datamarts, dashboards, business rules, and machine learning deployment pipelines.

  • Key Responsibilities:
    • Architect and oversee datamarts and curated data views across domains.
    • Establish data modeling best practices, documentation, and governance.
    • Mentor team members on SQL and data engineering patterns.
  • Dashboarding & Visualization:
    • Drive dashboard standards, governance, and usability across business teams.
    • Lead the design of executive-level and operational dashboards.
    • Manage a backlog of dashboard requests with clear service level agreements.
  • Business Rule Engines (BREs):
    • Own the design and governance of production rule engines for credit/fraud policies.
    • Ensure scalable, tested, and version-controlled deployment of rules.
    • Partner with risk/policy/product teams for agile implementation.
  • ML Deployment & Maintenance:
    • Lead the deployment and monitoring of batch-based machine learning models.
    • Define standards for model execution, monitoring, and retraining workflows.
    • Collaborate with model builders for smooth model-to-production handoff.
  • Automation & SLAs:
    • Define and enforce service level agreements for data, dashboard, and BRE changes.
    • Introduce automated solutions using tools like n8n, dbt, CI/CD.
    • Continuously improve efficiency of analytics delivery.
  • Team Leadership:
    • Lead a small team (2–4 analysts/engineers) with responsibility for prioritization, quality, and development.
    • Conduct regular reviews, mentorship, and skill development.
    • Act as the bridge between business stakeholders and the analytics team.

Requirements:

  • 5–8 years of experience in analytics engineering / BI / data platforms.
  • Advanced SQL, data modeling, and pipeline orchestration experience.
  • Strong business intelligence expertise.
  • Hands-on with machine learning model deployment (batch pipelines, monitoring, scheduling).
  • Familiarity with cloud platforms.
  • Experience with workflow automation.
  • Prior experience in leading small teams and stakeholder management.

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