Senior Lead Engineer

Overview

Design, build and maintain scalable data systems, analytics pipelines and business intelligence solutions, collaborating with data scientists, analysts, software engineers and business stakeholders.

What you'll do

• Design and develop robust data pipelines and ETL/ELT workflows to support analytics and reporting.
• Build and optimize data models, data marts, and analytical datasets for high-performance consumption.
• Maintain and improve data infrastructure, ensuring scalability, reliability, and cost efficiency.
• Partner with analytics teams to translate business requirements into technical data solutions.
• Implement best practices for data quality, metadata management, lineage, governance, and validation.
• Develop and manage automated monitoring and alerting for data systems.
• Collaborate on the selection and integration of data technologies and tools.
• Drive improvements in data architecture, including cloud modernization, performance tuning, and automation.
• Contribute to coding standards, documentation, and engineering practices within the data ecosystem.
• Mentor junior engineers and support cross-functional technical development.

What you'll need

• Strong proficiency in SQL and Python for data processing and analytics engineering.
• Experience with modern data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Synapse.
• Expertise in building data pipelines using tools such as Airflow, dbt, Azure Data Factory, or similar orchestration frameworks.
• Solid understanding of data warehousing, dimensional modeling, and schema design.
• Experience with cloud ecosystems (Azure, AWS, or GCP) and scalable distributed systems.
• Familiarity with CI/CD workflows, version control, and automated testing in data environments.
• Ability to analyze complex problems, identify root causes, and develop effective solutions.
• Strong communication skills for working with both technical and non-technical partners.
• Proven ability to lead complex projects and deliver high-quality technical outcomes.

Nice to have

• Experience with machine learning feature engineering or supporting ML pipelines.
• Knowledge of streaming data frameworks such as Kafka or Kinesis.
• Background in dashboard and BI tool integration (Power BI, Tableau, Looker).
• Exposure to data governance, privacy, and compliance frameworks.
• Prior experience mentoring or leading technical teams.

Details

• Location: Bengaluru, Karnataka, India (Northgate, Sy No 2/2 Venkatala Village, Yelahanka Hobli).
• Work mode: Hybrid.
• All India positions require a background check, which may include a drug screen.