7 months ago
Responsibilities
- Lead the technical outcomes for a team of engineers through mentorship, guidance, and support.
- Partner with recruiting to attract and hire engineering talent.
- Build and deliver reliable, efficient data pipelines that scale to user needs.
- Develop subject matter expertise and manage SLAs for data pipelines and full-stack web applications supporting critical stakeholders.
- Collaborate with product managers and peers to create and improve canonical datasets and data warehouses and promote trustworthy data usage.
- Use AI, LLMs, and agents at scale to produce and analyze high-quality data for ambiguous problems.
- Drive key data initiatives through planning, development, and delivery while maintaining quality and timely completion.
- Foster collaboration, inclusion, innovation, knowledge sharing, and continuous improvement within the team.
Requirements
- 10+ years of engineering experience, including 5+ years building and operating data systems or pipelines, datasets or data warehouses, infrastructure, and leading small teams.
- Strong engineering background and passion for data.
- Experience writing and debugging data pipelines with a distributed data framework such as Spark, Hadoop, or Trino.
- Ability to investigate data inconsistencies and resolve deep-rooted data quality issues.
- Knowledge of a backend development language such as Scala, Java, or Go, plus strong SQL experience.
- Strong customer focus and ability to partner with product managers, leaders, and engineers to understand use cases.
- Ability to collaborate cross-functionally, communicate clearly, and make or coordinate difficult decisions and trade-offs.
- Ability to work with high autonomy and responsibility in an ambiguous environment.
- Ability to foster and contribute to a healthy, inclusive, challenging, and supportive work environment.
- Expertise in Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, AWS Cloud, or open-source contributions is preferred.
- Experience creating and maintaining data marts or data warehouses for business reporting is preferred.
- Experience working with Product or Go-To-Market teams is preferred.
- Strong written and verbal communication skills for leadership, users, and company-wide audiences are preferred.
Tech Stack
Categories
BackendData Engineering
About Stripe
Stripe builds programmable financial services. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.