Lead Data Engineer

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.

• 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.

• 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.