# Platform Engineer - Data (SDE-3 / Staff)

> Weekday AI · India (Remote) · Full-time · Posted 2026-09-04

**Workplace:** remote

**Department:** Weekday's Client via platform

## Description

**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.

## Requirements

### 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 platform engineering experience**, with demonstrated SDE-3 / Staff-level ownership and impact, regardless of current job title.
-   Proven, hands-on experience owning a **shared data platform in production**, rather than exclusively building pipelines or applications on top of an existing platform.
-   Strong expertise in **distributed-systems design** and production-grade software development using one or more of Python, Java, Go, or Scala.
-   Meaningful experience across **batch processing, streaming, data ingestion/CDC, storage and query systems, and platform operations**.
-   Demonstrated ability to improve **reliability, scalability, performance, cost efficiency, or developer self-service** in large-scale production environments.
-   Strong individual contributor who can influence architecture, establish technical standards, and drive complex engineering initiatives while remaining close to the code and operational details.
-   Comfortable taking end-to-end ownership, from architecture and implementation through deployment, monitoring, incident response, and continuous improvement.

### Strong Adjacent Experience

Experience with open-source or production-scale implementations involving:

-   Apache Iceberg, Apache Hudi, or Delta Lake
-   Apache Kafka, Apache Flink, or Debezium
-   Apache Spark, Trino, or Pinot
-   Kubernetes and cloud-native workload platforms
-   Data catalogs, metadata platforms, lineage systems, or governance frameworks
-   Data quality and observability platforms

### Not a Fit For This Role

This role is not intended for candidates whose experience is primarily focused on:

-   BI or reporting
-   Analytics engineering
-   Data warehouse modeling
-   Business-facing ETL development only
-   Generic backend engineering without significant data-platform ownership
-   Assembly and configuration of managed services without deep platform engineering ownership
-   Narrow ownership of a single infrastructure or data component
-   People-management-focused roles without substantial hands-on engineering involvement

### Must-Have Skills

-   Data Platform
-   Distributed Systems

### Good-to-Have Skills

-   Apache Iceberg
-   Apache Hudi
-   Delta Lake

### Role Level

**SDE-3 / Staff Engineer**

**Experience:** Typically 7+ years

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/202C8AF7AF/apply)

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