This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Engineer based in India.
This is a senior hands-on engineering role focused on designing and delivering scalable, production-grade data solutions across modern cloud ecosystems. You will work at the intersection of architecture, data engineering, and client delivery, building robust pipelines and end-to-end data platforms that power analytics and AI use cases for global enterprise customers. The role involves close collaboration with stakeholders and clients to translate complex requirements into reliable, scalable, and secure data systems. You will operate in a fast-paced, cloud-first environment leveraging leading technologies across Snowflake, AWS, Azure, GCP, and modern data integration tools. Beyond execution, you will also play a key leadership role, mentoring engineers and guiding technical direction. This position offers strong autonomy, ownership, and the opportunity to influence enterprise-scale data transformations.
Accountabilities
- Lead the design, development, and deployment of end-to-end data engineering solutions across cloud-native and hybrid environments.
- Build and optimize scalable data pipelines ensuring performance, reliability, security, and efficient data integration across multiple systems.
- Collaborate with clients and internal teams to translate business requirements into technical architectures and implementation roadmaps.
- Provide technical leadership and mentorship to data engineers, ensuring best practices in coding, design, and delivery.
- Develop and maintain detailed technical documentation including solution designs, POCs, architecture diagrams, and system workflows.
- Ensure full lifecycle ownership of data solutions, from design and development through testing, deployment, and production support.
- Work with modern data platforms and tools to enable automated data transformation, orchestration, and real-time or batch processing workflows.
Requirements
- 8 plus years of hands-on experience in data engineering, designing and implementing scalable data solutions in production environments.
- Proven experience leading or mentoring engineering teams in complex technical projects.
- Strong programming skills in Java, Python, or Scala with the ability to build robust data applications and pipelines.
- Deep expertise in SQL, including query optimization, debugging, and performance tuning.
- Strong experience with cloud data platforms such as Snowflake, AWS, Azure, GCP, and Databricks.
- Hands-on knowledge of data integration and processing tools such as Spark, Kafka, dbt, Airflow, and similar technologies.
- Experience working across the full software development lifecycle including design, development, testing, deployment, and support.
- Strong client-facing communication skills with experience delivering presentations and technical documentation to stakeholders.
- Bachelor's degree in Computer Science or a related technical field.
- Exposure to distributed storage systems, data lakes, and modern data architectures is highly preferred.
Benefits
- Remote-first work environment with flexibility and autonomy.
- Comprehensive medical insurance coverage for self, family, and parents.
- Term life and personal accident insurance for financial security.
- Wellness allowance and broadband reimbursement to support remote work setup.
- Paid certifications, training programs, and continuous learning opportunities.
- Professional development support and performance-based bonuses.
- Inclusive, diverse, and collaborative work culture.
How Jobgether Works
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
