Strategic Data Innovation Manager

2 days ago

Dombivli, Maharashtra, India beBeeData Full time ₹ 21,50,000 - ₹ 24,56,500
Senior Data Architect

Job Title: Senior Data Architect

We are seeking a seasoned Senior Data Architect with expertise in building scalable data pipelines, advanced data validation processes, and AI-driven quality frameworks. This role involves architecting, designing, and implementing high-quality data ingestion and validation processes from multiple upstream systems while laying the foundation for AI-driven anomaly detection, business insight extraction, and scalable reporting solutions.

Key Responsibilities:

  • Advanced Data Quality Management: Design and implement robust data quality validation systems across multiple sources.
  • Design and Implement AI-Driven Tools: Develop tools that identify anomalies, detect irrational transactions, and provide early insights 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: 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.
  • Cross-Functional Collaboration: Work closely with business analysts, data scientists, and engineering teams to align system architecture with business needs.
  • Team Leadership & Optimization: Lead a small, distributed team, mentoring junior engineers and analysts.

Required Skills and Qualifications:

  • 8–12 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.

Preferred Attributes:

  • Experience leading data modernization or AI transformation projects.
  • Prior exposure to dashboard adoption challenges and enterprise change management.

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