Jobs Companies Weekday AI Platform Engineer - Data (SDE-3 / Staff)

Sobre este puesto de Platform Engineer - Data (SDE-3 / Staff) en Weekday AI

Weekday AI · Remoto · India

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

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