Chief Data Architect

2 weeks ago

Gulbarga, Karnataka, India beBeeDataEngineering Full time ₹ 12,00,000 - ₹ 18,00,000
Data Engineering Lead Job OpportunityLooking for a seasoned Data Engineering Lead to spearhead our data pipeline initiatives. In this role, you will be responsible for designing and implementing high-quality data ingestion processes from multiple upstream systems.

Key Responsibilities:
  1. • Design and implement scalable data quality validation systems across multiple sources • Develop AI-driven tools that identify anomalies, detect irrational transactions, and provide early insight into data discrepancies • 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 • 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 • Partner with stakeholders to proactively identify and address reporting gaps or escalations • Ensure auditability and traceability of decisions derived from enriched or corrected data • 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 • 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


About the Role

This is an exciting opportunity to join our team as a Data Engineering Lead. As a key member of our data engineering team, you will play a crucial role in shaping our data strategy and driving business outcomes.

We are looking for a talented individual who can lead our data engineering efforts and drive innovation in data quality and analytics.

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