Data Solutions Architect

1 day ago

Bhavnagar, Gujarat, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Key Positions Overview

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We are seeking an experienced Data Solutions Architect to lead the creation of effective solutions that make a real difference in people’s lives.

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The successful candidate will design and scale data platforms, dashboards, business rules, and machine learning deployment pipelines. They will also own process automation, service level agreements, and governance to ensure a reliable, future-ready analytics ecosystem.

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Job Responsibilities

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  • \
  • Data Engineering\
  • Architect and oversee data platforms 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 SLAs.\
  • 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.\
  • Machine Learning 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 SLAs 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.\
  • Qualifications\

    • \
    • 5–8 years of experience in data solutions architecture / BI / data platforms.\
    • Advanced SQL, data modeling, and pipeline orchestration experience.\
    • Strong expertise in business intelligence (Tableau, PowerBI, Looker, or equivalent).\
    • Hands-on with machine learning 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.\\"],

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