Data Engineer

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.

• Strong 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 8827565832.

Stay updated with our latest job opportunities and company news by following us on LinkedIn:

Sourcebae on LinkedIn