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Senior data platform role in Bangalore with common cloud/data stack; moderate candidate density.
Core cloud data warehouse and pipeline skills transfer across industries, though IoT/telematics experience is a plus.
Explicit 10+ years requirement plus specific cloud data warehouse, Spark, dbt/Airflow, and leadership expectations.
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Own the technical strategy for Lytx's cloud data warehouse and lakehouse, balancing performance, cost, and reliability at scale.
Lead design, delivery, and cross-team initiatives for data models, pipelines, and storage that support analytics, reporting, and machine learning.
Improve data quality, governance, and observability to ensure trusted data and elevate engineering standards through reviews and mentorship.
10+ years of experience in data engineering with large-scale data warehouse or lakehouse platforms in production.
Deep hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift and distributed processing frameworks like Spark.
Strong SQL and Python skills and experience with data transformation pipelines using tools like dbt or Airflow.
Experience operating data infrastructure on major cloud providers (AWS, Azure, or GCP).
Experienced leader capable of driving technical projects and influencing architecture across teams without direct authority.
Pragmatic problem solver skilled at balancing scale and simplicity in data platform architecture.
Strong communicator able to explain complex data models to both technical and business stakeholders.