Job Description :
About the Principal Data Analytics Engineer Role:

A Principal Data Analytics Engineer is a subject matter expert on many forms of real-time data collection and processing (e.g., using Tag Managers, CDPs, APIs, SDKs, Google Analytics, A e Analytics, Amplitude, etc. In addition to being able to design and instrument data collection for specific clients, the Principal Data Analytics Engineer would be our primary resource in support of solving complicated data needs across all clients, ideate/create new accelerators, and establish best practices. The Principal Data Analytics Engineer would also have opportunities to train our Jr./Mid/Sr. level Data Analytics Engineers, create documentation templates, present content to our clients, write blog posts, and speak at events.

Required Qualifications:

Extensive experience with digital analytics tools such as A e Analytics, Google Analytics, or similar
Extensive experience implementing web and mobile Tag Management Systems (such as A e DTM/Launch, Tealium, GTM, mParticle, Segment, Ensighten, or similar tool)
Extensive knowledge and experience of Customer Data Platforms (CDPs) and how they connect to other technologies (e.g., CRMs, DMPs, APIs, Data Warehouses, big-data processing platforms, etc
Abreast of the latest customer data collection challenges and customer privacy laws (such as GDPR, CCPA, ITP, etc
Extensive experience validating the quality of data collection individually or with a QA team
Knowledge and experience of front-end web development technologies (e.g., HTML, CSS, JavaScript, Angular, React, etc
Knowledge and experience of mobile app development technologies (e.g., Objective-C, Swift, Java, ReactNative, Flutter, etc
Knowledge and experience with data warehousing and/or big data processing platforms (such as Hadoop, Spark, Snowflake, BigQuery, Redshift, etc
Extensive experience in software engineering principles, frameworks, technologies, and standards
Excellent written and oral communication skills with the ability to present to a client''s technology/engineering teams, product managers, directors, and VPs of marketing, analytics, and technology


Solving complicated data needs across all our clients
Establishing best practices
Train and mentor our data analytics engineers
Write blog posts and speak at industry events
Gather business requirements related to analytics
Discuss solutions with business stakeholders and provide training and documentation as needed
Implement analytics solutions via CDPs, tag management systems, and custom code
Document QA processes and support QA efforts
Collaborate with business stakeholders, analysts, and developers to optimize reporting and analytics capabilities
Communicate effectively and proactively with your team and with clients