Strategic Data Architect

15 hours ago

Mount Abu, Rajasthan, India beBeeLeadership Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Lead Analytics Engineer 

The role involves overseeing the design and implementation of data pipelines, analytics dashboards, business rules, and machine learning deployment. This includes establishing data modeling best practices, documentation, and governance to ensure a reliable analytics ecosystem.

Key Responsibilities:

  • Analytics Engineering & Automation Lead
    • 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 ML 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 GenAI, 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.
    Required Skills and Qualifications: 
    • 5–8 years of experience in analytics engineering / BI / data platforms.
    • Advanced SQL, data modeling, and pipeline orchestration experience.
    • Strong BI expertise (Tableau, PowerBI, Looker, or equivalent).
    • Hands-on with ML model deployment (batch pipelines, monitoring, scheduling).
    • Familiarity with cloud platforms (BigQuery, Snowflake, GCP/AWS/Azure).
    • Experience with workflow automation (Airflow, dbt, n8n, CI/CD).
    • Prior experience in leading small teams and stakeholder management.
    Benefits: 

This is an excellent opportunity to lead a high-performing analytics team and drive business growth through data-driven insights.

Others: 

Please note that this is a technical leadership role that requires strong technical expertise, business acumen, and communication skills.

 

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