Director of Data Engineering and Analytics at BabyList (Oakland, CA)

Babylist is looking for an experienced, highly technical, and driven Director of Data Engineering and Analytics to lead our growing data team.


The ideal candidate will:

• Build and manage a growing team of data engineers, scientists, and analysts


• Build out the Data Operations organization while directly mentoring both data engineering and data analytics staff


• Own the design, construction, and scaling of our internal data platform


• Take the lead in driving better data quality through automation and monitoring


• Partner with business and engineering leaders across organizations to drive product impact via meaningful insights


• Manage third-party relationships with tool vendors

You are someone who:

• Has an extensive software engineering background immersed in software systems


• Can manage the details of end-to-end implementation, keeping track of dependencies within a large design, and communicating the vision and ideas to both technical and non-technical audiences


• Understands and has experience with a variety of technologies with the proven ability to quickly and effectively assimilate and apply new technologies


• Has deep understanding and experience with data architectures, information systems deployment and storage techniques and information management and analysis tools


• Possesses excellent interpersonal and team-building skills


• Enjoys leading, recruiting, mentoring and motivating engineers


• Has a positive, people-oriented, and energetic attitude

In your past work, you:

• Worked with Data Scientists or Machine Learning Engineers as customers of your software


• Designed and built production ETLs and data pipelines


• Worked with data warehousing tools such as Amazon Redshift, Hive, or Spark and used queuing technologies such as Rabbit MQ or Amazon SQS


• Deployed both SQL and NoSQL database technologies such as PostgresSQL, MySQL, Cassandra, CouchDB, MongoDB


• Have gained a deep understanding of the operational aspects of a distributed system


• Learned what it takes to repeatedly ship code to a production environment

by via developer jobs - Stack Overflow