# Staff Engineer, Data Engineering Solutions

**Company**: Stripe
**Location**: Bengaluru
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/stripe/jobs/7548037?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_e9b044f6-144

## Description

## Job Overview

We're looking for a Staff Engineer to lead the Data Engineering Solutions Team in solving high-impact, cutting-edge data problems. As a Staff Engineer, you will drive the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success.

## Responsibilities

You will:

- Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success.

- Partner with our recruiting team to attract and hire top talent.

- Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency.

- Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders.

- Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data.

- Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems.

- Have an opportunity to work with Spark, Flink, Kafka, Trino, Pinot, Airflow, Scala, Java, SQL, and Python and many other big data technologies.

- Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion.

- Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team.

## Requirements

We're looking for someone who has:

- 10+ Years of engineering experience with 5+ Years of hands-on experience building+operating data systems/pipelines, datasets/data warehouses, infrastructure, and leading small teams to deliver exceptional solutions.

- A strong engineering background and passion for data.

- Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Trino / etc).

- An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues.

- Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience.

- Extreme customer focus, with a commitment to partnering with Product Managers, leaders, and other Stripe engineers to understand their use cases.

- Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs.

- Thrive with high autonomy and responsibility in an ambiguous environment.

- Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment.

## Preferred Qualifications

- Expertise in Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, AWS Cloud, and influencing open-source contributions is a plus.

- Experience creating and maintaining Data Marts / Data Warehouses to power business reporting needs.

- Experience working with Product or Go-To-Market (GTM - Sales/Marketing) teams.

- Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions.

- Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide.

## Skills

### Required
- Data Engineering
- Airflow
- Spark
- Kafka
- Flink
- Scala
- Java
- SQL
- Python
- Distributed data frameworks

### Nice to have
- Iceberg
- Change Data Capture
- Hive Metastore
- Pinot
- Trino
- AWS Cloud
- Data Marts
- Data Warehouses

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/stripe/jobs/7548037?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)