Chief Data Architect

3 days ago

Kozhikode, Kerala, India beBeeData Full time ₹ 20,00,000 - ₹ 30,00,000

Optimize your financial life with a cutting-edge money management platform. This innovative solution empowers users to save, pay, invest, or borrow in one place. Monitor and analyze expenses across various accounts, apply for a credit card, access instant loans, and grow wealth through investment options.

Key Responsibilities
  • Design and oversee data architectures and curated views across domains.
  • Establish data modeling best practices, documentation, and governance.
  • Mentor team members on SQL and data engineering patterns.
  • 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.
  • 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.
  • 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.
  • Define and enforce service level agreements for data, dashboard, and business rule changes.
  • Introduce automated solutions using tools like GenAI, n8n, dbt, CI/CD.
  • Continuously improve efficiency of analytics delivery.
  • 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.

Qualifications:

  • 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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