Solutions Engineer- Professional Services
Mountain View, CA
We are seeking a Solutions Engineer to join our growing Solutions Engineering – Professional Services Team. The Treasure Data Solutions Engineering team has three areas of focus - Pre-sales, Professional Services and Customer Success Engineering, and this role will focus on the Professional Services competency.
Things you will do
Help customers understand the value of Treasure data as a Customer Data Platform, understand how they can build ETL pipelines, Data lakes, and IOT scenarios.
Be the Subject matter expert in all things Treasure Data. Equipped with solid knowledge of our Cloud based Customer Data platform, you will provide the expertise to customers towards a successful, scalable customer implementation.
Guide customers and prospects in architecture and implementation of their use cases on the treasure data platform.
Participate in blueprinting, scoping, technical requirements gathering, development, hypercare support, and transition to support/account management.
10-15 % travel is may be required as part of this job
Your background and skills will include
A strong background in data & technology and an extensive track record(5-10 years or more) of successful implementations of Customer focused solutions. Good understanding of Marketing Analytics and the Martech/Adtech Industry a plus.
Deep knowledge and 7+ years of experience in SQL, and have successfully sold and/or deployed data-oriented solutions in the recent past (DW, BI, ETL, Hadoop, etc).
Have strong customer communication and presentation skills as well as the ability to dive into technical topics and know-how, to successfully work as a trusted advisor to ensure the success of prospects and customers.
Engagement with developers, business analysts, and IT confidently and succinctly and understand how they want to work with data.
When it comes to delivering disruptive solutions to age-old problems, you are the expert. This can be demonstrated by a track record of happy, referenceable customers who appreciate your technical acumen and your diligence. This is a hands-on role – be ready to jump in and use the product from your first day.
We would be thrilled if you
Have experience selling Cloud-based or SaaS products.
Have a good understanding of Digital Marketing and Marketing Technologies.
Have experience working with Big Data technologies (such as Hadoop, MapReduce, Hive/Pig, Cassandra, MongoDB, etc)
Some level of understanding or experience in AI/ML in Python or SQL.
Have experience in Digdag, Fluentd, Hivemall or Embulk.
Have wide industry experience across Automotive, retail, media and entertainment, retail, telco/media markets or Ecommerce.
Working at Treasure Data
You can expect a work environment where the team is collaborative and open to your ideas, while we keep our collective eye on supporting our customers’ needs. Our team is committed to technical innovation in our product and in the world through customer collaboration, open-source projects, and by continuing to make our product an integral part of our customers’ growth and success.
We are an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.