What you'll do

• Help shape the technical direction of a domain within the Data@ organization.
• Build a reliable and scalable single source of truth core model data product for internal and external analytics and enable self-service.
• Partner with product, data analyst, engineering teams and other data engineers to translate business requirements into data models with measurable transformation quality under SLA.
• Develop and automate large-scale, high-performance data processing systems and visualization to ensure reliability and meet critical business requirements.
• Lead data engineering projects, and overall strategy for data governance, security, privacy, quality, and retention.
• Mentor data engineers and continue promoting data engineering and analytics tooling & standards.

What we look for

• 7+ years of experience in data modeling, data architecture, and other areas directly relevant to data engineering.
• Technical leadership; capable of handling mentorship, cross functional project execution, and solid individual contributions.
• Advanced SQL, ETL pipelines, Data modeling & design, SQL performance tuning in OLAP and Data Warehouse/Data Lake environments
• Proficiency with programming languages (e.g. Python) and Data Warehouse technologies (NoSQL, logging, columnar, Snowflake, etc.), Big Data technologies (e.g Hadoop, Spark, etc.), analytics (Looker, Tableau, etc.)
• Familiar with data governance frameworks and Agile methodology
• Excellent written and verbal communication and interpersonal skills; able to effectively collaborate with technical and business partners.
• Eager to learn new things and have a growth mindset.
• BS/MS degrees in Computer Science, Engineering, or a related technical field.