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:

o Source systems and external data providers

o Landing/staging databases

o Enterprise data warehouses

o Data lake environments

o Analytics platforms

o Reporting databases and data marts
- Ensure scalable, secure, and high-performing data integration architectures.
- Drive automation and operational efficiency within data pipeline environments.

Data Integration Engineering
- Manage batch, near-real-time, and streaming data ingestion processes.
- Coordinate data onboarding and integration activities for current 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 upst

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