Role & responsibilities
- Lead and manage the Data Engineering team responsible for building scalable, reliable, and high-performance data platforms and pipelines.
- Define and execute the data engineering strategy, technical roadmap, architecture, and delivery plans aligned with business objectives.
- Design and oversee scalable data pipelines, data warehouses, data lakes, lakehouse platforms, and data integration solutions.
- Drive development of batch and real-time data processing solutions using technologies such as Spark, Kafka, Airflow, Databricks, Snowflake, and cloud-native data services.
- Establish best practices for ETL/ELT, data modeling, data quality, data governance, data security, metadata management, and data observability.
- Partner with Data Science, Analytics, Product, Engineering, Business Intelligence, and Platform teams to deliver high-quality data solutions.
- Own the architecture and technical direction for cloud-based data platforms across AWS, Azure, or GCP.
- Drive modernization initiatives including cloud migration, lakehouse adoption,



pipeline automation, and legacy data platform transformation.
- Ensure data platforms meet requirements for scalability, reliability, performance, security, availability, and cost efficiency.
- Establish standards for data architecture, coding practices, testing, CI/CD, deployment, monitoring, and operational excellence.
- Identify and resolve data pipeline failures, performance bottlenecks, data quality issues, and architectural challenges.
- Drive data quality, lineage, governance, privacy, and compliance initiatives in collaboration with security and governance teams.
- Optimize data infrastructure and workloads for performance and cloud cost efficiency.
- Evaluate emerging data technologies, tools, and frameworks and recommend solutions based on business and technical requirements.
- Manage engineering capacity, resource allocation, project priorities, technical dependencies, and delivery commitments.
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📌 Data Engineering Manager (India)
🏢 Good Co India
📍 India