Data Engineering Manager, Perchwell

• BS or MS in Computer Science, related technical field, or equivalent experience
• Hands-on in being able to design, build, test, deploy and maintain real-time and batch processed data systems
• Hands-on experience building pipelines that span from RDBMS to NoSQL databases
• Designed, built and operated streaming data platforms
• Experience owning cloud data warehouse and data lake implementations
• Hands-on experience writing software for pipelines using Airflow, Java, Kotlin, Python, Kafka, SQL
• Deep experience with big data technologies such as BigQuery, Redshift, dbt, Snowflake, Fivetran
• You’ve built and operationalized data systems using via CI/CD pipelines using GitLab, GitHub actions, Terraform, or Jenkins
• You’ve built tools and or enabled automation for your team or others
• 5+ years of experience in a dedicated Data Engineering role with at least 2 years of management experience

Desirable

• As a Data Engineering Manager, you will lead the team that owns the data infrastructure and pipelines of Perchwell
• You will spearhead the effort of building a resilient and high performing data platform
• You will bring a background of engineering rigor and excellence and work cross-functionally with the rest of the organization
• You will be helping execute large strategic technical initiatives within the Data Engineering domain
• You have deep experience in building and operating data infrastructure for large production systems
• You understand good data governance practices and build systems and processes that allow the business to innovate while protecting its data
• You are rigorous and meticulous in your work and hold others to the same high engineering standards
• You are unbothered by large, messy data sets and have wrangled and integrated them into a platform others can build easily on top of
• You will work closely with the VP of Engineering and other senior leaders to tackle and remediate our current problem set while also building net new capabilities
• You will build important relationships and partner deeply with our product and SRE organizations
• This role has an on-call requirement
• Lead and mentor our existing team of data engineers and contractors
• Design and build scalable processes and solutions to our data engineering challenges
• Design and manage large performant data pipelines for ETL and enrichment
• Be a leader and driver of our complete data strategy
• Partner with the Data Team to help drive data quality and governance
• Help us evolve our current data models and systems architecture
• Build and operate reliable data systems that have observability, reconnaissance and automation baked in from the start
• Ensuring that data, whether structured or unstructured, is easily accessible and usable to analysts and engineers for insights and analysis and feature work
• Partner with FinOps and the infrastructure teams to identify and manage cost savings as well as monetization opportunities