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.