High-Quality Data Architect

2 days ago

Bellary, Karnataka, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Data Engineering Lead Position

We are seeking a seasoned Senior Data Engineer with extensive experience in developing and maintaining high-quality data pipelines, data validation systems, and AI-enhanced quality frameworks.

The successful candidate will be responsible for building and managing scalable data ingestion and validation processes from multiple upstream systems, as well as laying the foundation for AI-driven anomaly detection, business insight extraction, and reporting solutions.

This role requires strong technical skills in Python, Alteryx, SQL, and cloud data platforms like Snowflake. The ideal candidate will also have experience with AI/ML in data quality (anomaly detection, NLP-driven validation, etc.) and familiarity with enterprise systems like Workday, Beeline, and custom Excel-based reporting.

Key Responsibilities:
  • Data Quality Management
  • Design and implement scalable data quality validation systems across multiple sources.
  • Develop AI-driven tools that identify anomalies and provide early insight into data discrepancies.
  • Engineering & Automation
  • Lead development of data pipelines and validation scripts using Python, Alteryx, and integration into reporting tools.
  • Implement pre-processing checks for incoming files to detect issues before ETL pipelines are executed.
  • Ai and Machine Learning Integration
  • Build and deploy AI models to automate issue detection, enhance data lineage tracking, and generate intelligent alerts on unexpected changes.
  • Collaborate with business analysts to incorporate predictive insights and pattern recognition from historical data anomalies.
  • Data Governance & Reporting
  • Partner with stakeholders to proactively identify and address reporting gaps or escalations.
  • Ensure auditability and traceability of decisions derived from enriched or corrected data.
  • Cross-Functional Collaboration
  • Work closely with business analysts, data scientists, and engineering teams to align system architecture with business needs.
  • Educate and influence non-technical business users on the importance of data quality and automated anomaly detection.
  • Team Leadership & Optimization
  • Lead a small, distributed team, mentoring junior engineers and analysts.
  • Optimize headcount through AI augmentation, enabling skilled team members to focus on higher-value initiatives.
Requirements:
  • 6–10 years of experience in data engineering, data quality, or analytics engineering roles.
  • Proficient in Python, Alteryx, SQL, and cloud data platforms like Snowflake.
  • Deep understanding of data pipelines, ETL/ELT processes, and data validation best practices.
  • Experience with AI/ML in data quality (anomaly detection, NLP-driven validation, etc.).
  • Familiarity with enterprise systems like Workday, Beeline, and custom Excel-based reporting.
  • Strong interpersonal and communication skills to work with executive stakeholders and distributed teams.
Preferred Attributes:
  • Experience leading data modernization or AI transformation projects.
  • Prior exposure to dashboard adoption challenges and enterprise change management.
How to Apply:

Please send your updated resume to: Email Address Removed

Please include the following in your email:

  • Full Name
  • Contact Number
  • Total Experience
  • Relevant Experience
  • Current CTC
  • Expected CTC
  • Notice Period

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