Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Leads 2–3 scrum teams of 12–20 engineers, overseeing technical architecture, product and platform roadmaps, engineering excellence, and operational improvement. Builds and develops high-performing teams, coaches engineers and managers, collaborates with product, design, and architecture leaders, and drives execution across distributed teams in an ambiguous global environment.
Top Skills:
AgileAWSContinuous DeliverySaaSScrum
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Leads 2–3 scrum teams of 12–20 engineers, driving technical architecture, product and platform roadmaps, engineering excellence, operational excellence, and business outcomes. Coaches engineers and managers, develops high-performing teams, influences product direction, and provides clarity in ambiguous environments. Partners with product, design, architecture, and global stakeholders while supporting large-scale SaaS software development and continuous delivery.
Top Skills:
AgileAWSContinuous DeliverySaaS
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Maintain books of accounts, close monthly financial records, prepare reports, process invoices, vendor payments, reconciliations, payroll, and employee reimbursements. Manage GST, TDS, income tax, EPF, and ESIC compliance, including filings and reconciliations. Support financial statements, budgets, tax calculations, and client, vendor, banker, and auditor queries using Tally and related accounting systems.
Top Skills:
ExcelGstMS OfficePayroll Processing SoftwareSAPTallyTdsZoho
Own and evolve a large-scale shared data platform supporting billion-row workloads. Design open-lakehouse foundations, batch and streaming ingestion, CDC, platform APIs, orchestration, metadata, governance, observability, and data-quality capabilities. Drive production reliability, incident response, performance, cost optimization, capacity planning, and recovery improvements. The role requires hands-on distributed-systems engineering, architecture leadership, coding, deployment, and operational ownership at SDE-3 or Staff level.
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.
RequirementsWhat 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.
- 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.
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
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
- Data Platform
- Distributed Systems
- Apache Iceberg
- Apache Hudi
- Delta Lake
SDE-3 / Staff Engineer
Experience: Typically 7+ years
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
