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.

• Solid presentation and communication skills.

• Experience with multiple cloud/data technologies.

• Knowledge of data warehousing, streaming, ETL/ELT, and up-to-date 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 .

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