3 days ago
Responsibilities
- Lead technical outcomes for a team of engineers through mentorship, guidance, and support.
- Build and operate large-scale data discovery, metadata, and catalog platforms.
- Develop subject-matter expertise and manage SLAs for data pipelines and full-stack web applications.
- Create and improve canonical datasets and data warehouses while promoting trustworthy data usage.
- Use AI, LLMs, and agents at scale to produce and analyze high-quality data for ambiguous problems.
- Drive key data initiatives from planning through delivery while maintaining quality and timely execution.
- Foster collaboration, innovation, knowledge sharing, and continuous improvement within the team.
Requirements
- Typically 10+ years of experience building and operating data systems, pipelines, warehouses, and infrastructure, with experience leading teams.
- Strong distributed-systems fundamentals for high-availability data infrastructure.
- Knowledge of a backend development language such as Scala, Java, or Go, plus strong SQL experience.
- Ability to investigate data inconsistencies and resolve deep-rooted data quality issues.
- Strong customer focus and ability to partner with product managers, business leaders, and engineers.
- Effective cross-functional collaboration, clear communication, and sound decision-making in ambiguous environments.
- Ability to foster and work in a healthy, inclusive, challenging, and supportive environment.
- Preferred experience with Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, and AWS Cloud.
- Preferred experience influencing open-source contributions and creating or maintaining data marts or warehouses for business reporting.
- Preferred experience collaborating with Product, Go-To-Market, or Sales and Marketing teams.