Lead Data Engineer
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Salary
≈ $37k – $81k per year (Estimated)
Location
In office (Noida)
Seniority
Staff · 10+ years exp
Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 3, 2026.
Overview
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Bristlecone is a supply chain and enterprise applications consulting firm headquartered in San Jose, California, that implements and integrates SAP, Kinaxis and other platforms and builds AI, cloud and data solutions for manufacturing, consumer goods, life sciences and technology companies. Founded in 1998 and part of the Mahindra Group, it runs large delivery centres in Pune, Bengaluru, Mumbai and Noida and offices in Dallas, London, Frankfurt and Dubai. It hires SAP ABAP, BTP and integration consultants, SAP IBP planning specialists, Java integration engineers, technical leads and managers.
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.
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