Engineering Manager – Data Quality

The Engineering Manager – Data Quality leads a high-performing team responsible for ensuring the accuracy, integrity, consistency, and reliability of enterprise connectivity data across platforms and products. This role combines technical leadership, people management, and data governance ownership to enable high-quality, trusted data that supports analytics, AI/ML models, and business decision-making.

The manager collaborates closely with software engineering, data engineering, analytics, product management, telecom and governance teams to establish scalable data quality frameworks, automated validation pipelines, and compliance-aligned processes across the data lifecycle.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or related fiel
• 8+ years of experience in software/data engineering, with 2–5 years in leadership role
• Strong experience in data quality, data governance, and data engineering ecosystem
• Hands‑on experience with data pipelines, ETL/ELT frameworks, and cloud platforms (Azure, AWS, or GCP
• Knowledge of data modeling, metadata management, and data lineage tool
• Experience implementing automated testing and validation frameworks for data system

• Experience with AI/ML-based data quality monitorin
• Familiarity with streaming data platforms (Kafka, event-driven architectures
• Exposure to regulated environments (industrial, manufacturing, healthcare, finance
• Knowledge of CI/CD pipelines and Dev Ops for data platform