Lead Data Engineer
Noida Senior Data Engineering
At a glance
Senior Data Engineering role at Iaagiz. Noida.
Pay not stated Lead Data Engineer salary
RoleData Engineering
SenioritySenior
LocationNoida
PostedSep 3, 2026 · 7w ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and refine full data pipelines using Snowflake and Databricks
- Guide data engineers through technical decisions, code feedback and mentorship
- Turn needs from scientists, analysts and business partners into practical data solutions
- Set approaches for data models, ETL/ELT, governance, testing and workflow monitoring
- Improve platform speed, cost and reliability while managing project delivery and documentation
What you bring
- At least ten years working in data engineering
- Deep Snowflake knowledge and substantial hands-on work with Databricks, including Spark and Delta Lake
- Strong command of SQL, Python or Scala, data modeling and pipeline orchestration
- Experience leading engineering teams in Agile settings, plus familiarity with cloud platforms and infrastructure as code
- A bachelor's or master's degree in computer science, engineering or a related discipline
Who this fits
This senior lead role suits someone who combines hands-on data platform work with team guidance and stakeholder coordination. The position is based in Noida, India, and includes responsibility for leading data engineers.
From the employer
Bristlecone India Limited is seeking a seasoned Lead Data Engineer to spearhead the design, development, and optimization of our data ecosystem within the Data Services – Studio department. The role demands deep expertise in Snowflake and Databricks, a proven track record of building end‑to‑end data pipelines, and the ability to lead a high‑performing engineering team to deliver robust, scalable, and secure data solutions that empower business insights.
- Architect and implement end‑to‑end data pipelines on Snowflake and Databricks.
- Lead a team of data engineers, providing mentorship, code reviews, and technical guidance.
- Collaborate with data scientists, analysts, and business stakeholders to translate requirements into data solutions.
- Establish best practices for data modeling, ETL/ELT processes, and data governance.
- Optimize performance, cost, and reliability of data platforms.
- Drive adoption of CI/CD, automated testing, and monitoring for data workflows.
- Ensure data security, compliance, and privacy standards are met.
- Evaluate emerging technologies and recommend enhancements to the data stack.
- Manage project timelines, deliverables, and stakeholder communications.
- Document architecture, processes, and operational procedures.
- 10+ years of professional experience in data engineering.
- Deep expertise in Snowflake (data warehousing, performance tuning, security).
- Extensive hands‑on experience with Databricks (Spark, Delta Lake, ML pipelines).
- Proficiency in SQL, Python/Scala, and modern data integration tools.
- Strong background in data modeling, ETL/ELT design, and data pipeline orchestration.
- Experience leading and scaling engineering teams in an Agile environment.
- Knowledge of cloud platforms (AWS, Azure, or GCP) and infrastructure as code.
- Familiarity with CI/CD, version control (Git), and automated testing frameworks.
- Excellent problem‑solving, communication, and stakeholder management skills.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.