Lead Engineer - Data in India at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Engineer - Data based in India.

As a Lead Engineer - Data, you will play a key role in designing and delivering scalable, cloud-native data platforms that enable organizations to transform complex data into valuable business insights. This is a highly hands-on technical leadership position where you will architect modern data solutions, mentor engineering teams, and establish best practices across data engineering initiatives. Working closely with clients, architects, and cross-functional teams, you will drive the technical vision while remaining actively involved in solution design and implementation. The role offers the opportunity to work with modern cloud technologies, lakehouse architectures, and enterprise-scale data platforms in a collaborative, innovation-driven environment. If you enjoy solving complex technical challenges while leading by example, this is an excellent opportunity to make a significant impact.

• Lead the technical design, architecture, and implementation of scalable data platforms, pipelines, and processing systems using modern cloud technologies.
• Provide hands-on technical leadership and mentor data engineering teams, promoting engineering excellence, collaboration, and continuous learning.
• Design, develop, optimize, and orchestrate robust ETL/ELT pipelines while ensuring high standards for performance, scalability, reliability, and cost efficiency.
• Establish and enforce best practices for data engineering, governance, data quality, testing, security, and operational excellence.
• Collaborate with business stakeholders and technical teams to gather requirements, lead discovery workshops, and translate business needs into scalable technical solutions.
• Drive the technical roadmap for data infrastructure, perform architecture reviews, conduct code reviews, and support technical decision-making across projects.
• Develop reusable frameworks, technical documentation, and solution accelerators while contributing to pre-sales activities, solution design, and technical proposals.

• Minimum of 10 years of experience in data engineering or related disciplines, including at least 2 years in a hands-on technical lead role.
• Strong expertise in Python and SQL, with proven experience building production-grade, enterprise-scale data engineering solutions.
• Extensive experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure, including modern data engineering services.
• Hands-on experience with Databricks, Delta Lake, lakehouse architectures, enterprise data lakes, and cloud-native data warehouse solutions.
• Deep understanding of ETL/ELT frameworks, data modeling, orchestration, data integration patterns, and pipeline automation.
• Experience with streaming technologies such as Apache Kafka or AWS Kinesis, along with expertise in query optimization, storage optimization, and performance tuning.
• Knowledge of data governance, security, compliance, semantic modeling, and modern architectural approaches such as medallion architecture, data mesh, or data fabric.
• Experience using Git, Agile development methodologies, and collaborative software engineering best practices; familiarity with Scala or Java is an advantage.
• Strong leadership, communication, stakeholder management, and mentoring skills with the ability to explain technical concepts to both technical and non-technical audiences.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Relevant cloud certifications such as AWS Certified Data Analytics or Google Cloud Professional Data Engineer are highly desirable.

• Full-time opportunity based in India.
• Opportunity to work on enterprise-scale cloud and data transformation projects.
• Exposure to modern cloud platforms, lakehouse technologies, and advanced data engineering ecosystems.
• Collaborative environment focused on innovation, technical excellence, and continuous learning.
• Opportunities to mentor engineers, influence technical strategy, and contribute to thought leadership.
• Support for professional development and cloud certification growth.
• Inclusive and diverse workplace committed to equal opportunity and professional advancement.