# Senior Staff Engineer - Data Platform

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-10-22

**Workplace:** on_site

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

## Description

**This role is for one of Weekday’s clients**

  
Min Experience: 12+ years  
Location: Bengaluru, Karnataka, India, Bengaluru  
JobType: full-time

We are looking for an experienced **Senior Staff Engineer – Data Platform** with 12–17 years of experience to lead the architecture, design, and evolution of our core data platform. This role will be responsible for building scalable, reliable, and high-performance data infrastructure spanning lakehouse architecture, analytical pipelines, and transactional systems. The ideal candidate will possess deep expertise in Data Engineering and Databricks, along with a strong understanding of distributed systems, cloud infrastructure, data governance, and modern data architecture. As a senior technical leader, you will drive architectural decisions, establish engineering standards, mentor technical teams, and collaborate with cross-functional stakeholders to deliver robust data solutions that support business-critical applications and advanced analytics.

## Requirements

## Key Responsibilities

-   **Data Platform Architecture:** Own the end-to-end architecture and technical roadmap of the data platform, ensuring scalability, reliability, performance, and long-term maintainability.
-   **Databricks Engineering:** Design, develop, and optimize Databricks-based data solutions using Apache Spark, Delta Lake, and Lakehouse architecture principles.
-   **Data Pipeline Development:** Build and maintain robust batch and streaming data pipelines to support analytics, reporting, machine learning, and operational use cases.
-   **Distributed Systems:** Architect high-throughput, fault-tolerant data processing systems capable of handling large volumes of structured and unstructured data.
-   **Transactional Systems Integration:** Design efficient data integration patterns between transactional databases, analytical platforms, and downstream data consumers.
-   **Performance Optimization:** Identify and resolve bottlenecks in data processing, storage, query execution, and resource utilization to improve system efficiency and control infrastructure costs.
-   **Data Governance and Quality:** Establish standards for data quality, lineage, security, access control, metadata management, and regulatory compliance.
-   **Technical Leadership:** Lead complex engineering initiatives, influence architectural decisions across teams, and establish best practices for data engineering and platform development.
-   **Cross-Functional Collaboration:** Partner with product managers, analytics teams, data scientists, and engineering leaders to translate business requirements into scalable technical solutions.
-   **Mentorship and Innovation:** Mentor senior engineers, conduct architecture reviews, promote engineering excellence, and evaluate emerging technologies to continuously improve platform capabilities.

## Must-Have Skills

-   Extensive experience in **Data Engineering**, data platform architecture, and large-scale data processing.
-   Strong hands-on expertise in **Databricks**, Apache Spark, Delta Lake, and Lakehouse architecture.
-   Proven experience designing and operating scalable ETL/ELT pipelines and distributed data systems.
-   Strong understanding of data modeling, data warehousing, batch processing, and real-time data streaming.
-   Experience with cloud-based data platforms, preferably AWS, Microsoft Azure, or Google Cloud Platform.
-   Proficiency in SQL and at least one programming language, such as Python or Scala.
-   Strong knowledge of data security, governance, reliability, observability, and performance optimization.
-   Demonstrated ability to lead architecture initiatives and influence technical strategy across multiple engineering teams.

## Experience and Qualifications

-   12–17 years of overall experience in software engineering, Data Engineering, or data platform development.
-   Significant experience building and scaling enterprise-grade data platforms in complex environments.
-   Proven track record of technical leadership, architectural ownership, and successful delivery of mission-critical data systems.
-   Excellent problem-solving, communication, stakeholder management, and mentoring skills.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/1EC4F0D4C9/apply)

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