This role is for one of Weekday’s clients

Min Experience: 7+ years
Location: India
JobType: full time
We are looking for a hands-on Platform Engineer – Data (SDE-3 / Staff) to take ownership of a large-scale, billion-row shared data platform and help scale it from its current state to the next level of reliability, performance, and usability.
This is a data platform engineering role, not a business ETL or analytics-pipeline delivery position. You will design, build, and operate the foundational systems that product and engineering teams rely on. The role requires strong distributed-systems expertise, production engineering skills, and the ability to drive architecture while remaining deeply involved in coding and operations.
What You’ll Own
Build and evolve open-lakehouse foundations using technologies such as Apache Iceberg, Delta Lake, or Apache Hudi, including table lifecycle management, partitioning, data layout, compaction, schema evolution, catalog management, and query operations.
Design and operate batch and streaming ingestion systems, including CDC, data contracts,



deduplication, checkpointing, replay, recovery, and failure handling.
Develop platform services, APIs, and self-service capabilities that enable engineering and product teams to consume and manage data independently without creating unnecessary dependencies on a central platform team.
Build and manage orchestration and workload execution systems across Kubernetes and workflow technologies such as Prefect, Argo, or Airflow.
Establish robust metadata, lineage, governance, data quality, and observability capabilities across the platform.
Own production reliability and operational excellence, including incident response, SLAs, data freshness, performance and cost optimization, capacity planning, and recovery improvements.
Establish engineering standards and architectural patterns that enable the platform to scale across teams and workloads.
What We’re Looking For
Typically 7+ years of software or p

📌 Platform Engineer (India)
🏢 Weekday AI
📍 India