▷ (High Salary) Lead Data Engineer
3 weeks ago
Job Description: Senior Data Engineer Lead
Location: Remote (India)
Experience Level: 8–12 years
Employment Type: Full-time
About the Role
We are looking for a highly skilled Senior Data Engineer Lead who can take ownership of end-to-end data initiatives— from ingestion and transformation to advanced analytics and AI-driven solutions.
This role requires someone who can balance leadership and hands-on development, ensuring timely delivery of high-quality solutions while guiding and mentoring team members. You will work closely with stakeholders to understand requirements, design scalable data systems, and deliver actionable insights and AI-powered capabilities.
Key Responsibilities
- Own delivery of data projects from design to deployment, ensuring timelines and quality standards are met.
- Design and implement robust data ingestion pipelines from multiple structured and unstructured sources.
- Build and optimize data warehouses, data lakes, and ETL/ELT pipelines for scalability and performance.
- Collaborate with cross-functional stakeholders to translate requirements into data models, pipelines, and analytics solutions.
- Contribute hands-on as a developer while guiding and mentoring other engineers/scientists.
- Work on GenAI-driven solutions, integrating LLMs and AI agents into data products.
- Ensure best practices for data governance, quality, security, and performance tuning.
- Drive continuous improvement in architecture, automation, and DevOps practices for data systems.
Qualifications & Skills
- 8–12 years of experience in Data Engineering / Advanced Analytics, with proven leadership experience.
- Strong expertise in:
- Data Engineering: SQL, Python, Spark, Databricks (or similar), ETL/ELT frameworks, data modeling.
- Data Warehousing & Cloud: Azure / AWS / GCP, Delta Lake, BigQuery, Redshift, or Snowflake.
- Data Pipelines: Airflow, Fivetran, Kafka, or equivalent tools.
- Exposure to Machine Learning / GenAI solutions (LLMs, embeddings, AI agents, vector databases).
- Familiarity with MLOps practices for integrating models into production pipelines.
- Strong knowledge of data governance, performance optimization, and cost efficiency in cloud environments.
- Proven ability to lead deliveries while remaining hands-on in development.
- Excellent problem-solving, communication, and stakeholder management skills.
What We Offer
- 100% Remote Opportunity
- Lead impactful, cutting-edge data and AI initiatives.
- Hands-on exposure to GenAI, LLMs, and advanced data platforms.
- A collaborative environment that encourages innovation and ownership.
- Career growth with leadership responsibilities while remaining technically hands-on.
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