Role: Project Manager - Data Engineering / Technical Project Manager Engagement Type: Full time Employee (FTE) Location: Work from Office Indiranagar, Bengaluru Experience: 5+ Years Company: Nu10 Technologies We are looking for a Technical Project Manager with a solid background in Data Engineering to lead end-to-end delivery of enterprise data platform initiatives. The ideal candidate should have prior hands-on experience in Data Engineering and possess deep technical understanding of modern data architectures, large-scale data pipelines, cloud data platforms, Spark-based processing, and Data Lake implementations. The candidate should be capable of driving delivery while also providing technical direction to engineering teams.

Key Responsibilities Lead end-to-end delivery of Data Engineering and Data Platform projects from planning through production deployment. Work closely with Data Engineers, Data Architects, Business Analysts, QA teams, and stakeholders to define project scope, timelines, and deliverables. Review and validate solution architecture for enterprise Data Lake implementations.

Drive implementation of Medallion Architecture (Bronze, Silver, Gold layers) and ensure best practices are followed. Oversee the design and development of scalable batch and real-time data pipelines. Review technical designs for ETL/ELT pipelines and ensure performance, scalability, reliability, and maintainability.

Understand and guide Spark/PySpark-based data processing, partitioning, optimization, caching, and performance tuning. Ensure proper orchestration and scheduling of data workflows using tools such as Airflow, Azure Data Factory, or similar orchestration platforms. Monitor project risks, technical dependencies, resource planning, and delivery milestones.

Conduct architecture reviews, sprint planning, backlog grooming, and technical discussions with engineering teams. Coordinate cross-functional teams to resolve technical blockers and delivery risks.



Drive implementation of data quality checks, monitoring, logging, and observability frameworks.

Ensure governance, security, metadata management, and compliance standards are followed across data platforms. Collaborate with DevOps teams for CI/CD, infrastructure automation, and production deployments. Communicate project status, risks, dependencies, and technical updates to leadership and business stakeholders.

Mandatory Technical

Expertise

- The candidate should possess strong understanding of: Data Lake implementation and modernization Medallion Architecture (Bronze, Silver, Gold) Data Warehouse concepts and dimensional modeling ETL and ELT architectures Agile/Scrum Delivery Client Interactions/ Stakeholder Management Data pipelines Apache Spark, PySpark, Python SQL optimization and performance tuning Data partitioning, repartitioning, bucketing, and file optimization Data ingestion from databases, APIs, Kafka, files, and cloud storage Data modeling (Star Schema, Snowflake Schema) Cloud platforms such as AWS, Azure, or GCP Data orchestration using Airflow, Azure Data Factory, Glue Workflows, or equivalent Data Lake technologies such as S3, ADLS, or GCS Delta Lake, Iceberg, or Hudi concepts Data Quality, Data Lineage, and Metadata Management Monitoring, logging, and production support CI/CD Pipelines Experience 8+ years of overall IT experience. Minimum 5+ years managing Data Engineering or Data Platform projects. Prior hands-on experience as a Data Engineer or Technical Lead.

Experience delivering enterprise-scale cloud data platform implementations.

What We Are Looking For The ideal candidate should not only manage project plans but also be technically capable of: Reviewing Data Engineering solution designs. Understanding pipeline bottlenecks and Spark optimization. Challenging engineering decisions with technical reasoning. Estimating delivery effort based on technical complexity. Managing risks associated with large-scale Data Engineering implementations. .

📌 Project Manager - Data Engineering / Technical Project Manager (Ranchi)
🏢 Nu10
📍 Ranchi