Key Responsibilities

Data Pipeline Leadership
Lead the design, development, deployment, and support of enterprise data pipelines and integration solutions.
Establish standards, patterns, and best practices for data ingestion, transformation, orchestration, and delivery.
Oversee data movement across the full analytics lifecycle:
Source systems and external data providers
Landing/staging databases
Enterprise data warehouses
Data lake environments
Analytics platforms
Reporting databases and data marts
Ensure scalable, secure, and high-performing data integration architectures.
Drive automation and operational efficiency within data pipeline settings.

Data Integration Engineering
Manage batch, near-real-time, and streaming data ingestion processes.
Coordinate data onboarding and integration activities for recent source systems and external data suppliers.
Define and maintain ETL, ELT, and data replication standards.
Support cloud and on-premises data integration platforms.




Collaborate with enterprise architects to align data movement solutions with strategic architecture standards.

Data Quality Governance
Establish and maintain enterprise data quality controls and monitoring processes.
Define data validation, reconciliation, exception handling, and alerting frameworks.
Monitor pipeline performance and proactively identify data integrity issues.
Partner with data governance teams to ensure compliance with organizational standards.
Implement and maintain data lineage documentation across data movement processes.
Support audit, compliance, and regulatory reporting requirements related to data traceability.

Data Lineage Metadata Management
Document end-to-end data flows across all pipeline stages.
Maintain lineage mapping between source systems, transformation processes, and downstream reporting assets.
Ensure metadata accuracy and availability for analytical consumers.
Support impact assessments related to upstream a

📌 Data & Analytics Data Pipelines Lead Bengaluru
🏢 NTT
📍 Bengaluru