Engineering Manager, Data Platforms

What you'll do:

• Lead, manage, and mentor a team of data engineers
• Collaborate cross-functionally to deliver projects required for improving the data infrastructure, data services, and tools that are used in our data pipelines
• Drive data quality across our data pipelines, and implement system controls for managing data quality
• Perform code reviews and provide critical suggestions for fixes and improvementsDefine and manage SLA’s for all data platform processes running in production
• Partner with data science and product managers to understand and identify data needs, translating business requirements into efficient and well documented data models to empower data-driven development
• Lead efforts to scale our data infrastructure as we enter the hyper growth phase
• Be an aggressive champion for data accessibility and integrity
• Contribute to any and all data engineering development work as needed

You have:

• BS/MS in Computer Science, Engineering, or related degrees
• 2+ years of hands-on management experience
• 5+ years of relevant experience with data engineering
• Expertise in skills related to designing and developing data pipelines, ETL, data warehousing, and workflow systems.
• Experience managing big data technologies like Snowflake, Google BigQuery, AWS Redshift, Apache Airflow, etc.
• Experience with databases like RDBMS, NoSQL, and SQL.
• Experience developing people through coaching, mentoring, and feedback
• Experience building cross-functional relationships and working with other teams to deliver projects
• Experience growing the technical expertise of a team through the use of state-of-the-art tools, technology, and processes
• Advanced proficiency with Python, Java, or other programming language
• Advanced SQL skills and very strong experience in scaling and optimizing schemas, performance tuning ETL pipelines
• Experience in owning and defining SLAs for maintaining production processes
• Robust written and verbal communication, able to effectively communicate with both technical and business partners
• Desire to work in San Francisco.

You might also have:

• Experience with Spark
• Experience with functional Scala
• Knowledge of protocol buffers
• FinTech background