Lead Data Engineer Experience: 9–11 Years Location: WFO Hybrid Model 3 days from office (Jaipur, Noida, Pune Bangalore) Job Summary We are looking for a Lead Data Engineer with strong technical expertise in PySpark, SQL, Kafka, Snowflake, and at least one major cloud platform (AWS/GCP). The role will combine hands-on data engineering leadership with client management, solutioning, pre-sales, and proposal support. The resource will work across multiple turnkey projects and will also contribute to building data engineering solutions, estimates, proposals, and client-facing technical discussions. Key Responsibilities Data Engineering & Technical Leadership • Lead the design and development of scalable enterprise-grade data engineering solutions. • Develop and optimize data pipelines using PySpark, Python, and SQL. • Design and implement real-time/streaming data solutions using Apache Kafka. • Develop data solutions using Snowflake. • Work hands-on with at least one cloud platform: AWS or GCP. • Provide technical guidance and mentoring to junior data engineers. • Review code, architecture, technical designs, and implementation approaches. • Troubleshoot complex technical and production issues. • Ensure solutions meet performance, scalability, security, and reliability requirements. Client Management • Act as a technical point of contact for clients and stakeholders. • Understand business requirements and translate them into technical solutions. • Participate in client meetings, requirement discussions, solution workshops, and technical presentations. • Manage technical expectations and communicate project status, risks, and dependencies.



Pre-Sales & Proposal Activities • Support pre-sales and proposal activities for Data Engineering opportunities. • Prepare technical solutions, architecture approaches, effort estimations, and project proposals. • Participate in RFP/RFI responses and solution presentations. • Conduct technical discussions with prospective clients. • Help identify appropriate technologies and approaches based on client requirements. • Contribute to reusable solution frameworks, accelerators, and technical documentation. Required Skills • 9–11 years of experience in Data Engineering. • Strong hands-on experience with PySpark. • Strong proficiency in SQL. • Robust experience with Apache Kafka. • Hands-on experience with Snowflake. • Strong experience with at least one cloud platform – AWS or GCP. • Strong understanding of data engineering architecture and modern data platforms. • Experience leading technical teams/projects. • Strong client-facing and stakeholder management skills. • Experience in pre-sales, solutioning, estimation, and proposal development. Preferred Skills • Experience working on turnkey/managed delivery projects. • Experience mentoring junior engineers. • Strong presentation and communication skills. • Experience with multiple cloud/data technologies. • Knowledge of data warehousing, streaming, ETL/ELT, and modern data architecture. Position Requirement • New position to support multiple Client turnkey projects, including a delivery setup involving 1 Junior Engineer. • The resource will also support Data Engineering proposal and pre-sales activities. Apply Now Interested candidates can share their updated CV at or WhatsApp it to . Stay updated with our latest job opportunities and company news by following us on LinkedIn: Sourcebae on LinkedIn

📌 Data Engineer (Uttar Pradesh)
🏢 Sourcebae
📍 Uttar Pradesh