Sales Engineer Cloud Data Warehouse Data Engineering AI - US Based - Remote
Sales Engineer Cloud Data Warehouse Data Engineering AI - US Based - Remote
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1 Vacancy
Job Description
Job Overview:
We are looking for a highly skilled and motivated Sales Engineer with deep expertise in cloud data warehousing data engineering and AI/ML to join our growing sales engineering team. In this clientfacing role you will collaborate with the sales team to present tailored cuttingedge solutions that leverage platforms like Databricks and Snowflake for cloud data warehousing and AI/ML integration. You will be the bridge between business needs and technical solutions helping customers navigate complex data challenges and drive impactful outcomes with data engineering and AI technologies.
Key Responsibilities:
PreSales Support & Solution Design:
- Collaborate with the sales team to deeply understand customer business requirements and design scalable cloud data architectures using Databricks Snowflake and other cloudbased data platforms.
- Present tailored product demonstrations Proof of Concepts (POCs) and architectural walkthroughs to showcase the capabilities of cloud data solutions and AI/ML integrations.
- Develop and deliver highimpact technical presentations and workshops on data engineering best practices cloud data architecture and AIdriven analytics.
- Assist with RFP/RFI responses crafting technical solutions and aligning with customer objectives to win business.
- Facilitate data strategy workshops to roadmap client analytics priorities
- Build scopes of work for data projects
AI & Data Engineering Expertise:
- Work closely with customers to understand their data engineering workflows including data pipelines ETL processes and data integration needs.
- Advise clients on the optimal design and implementation of data pipelines automation strategies and the integration of AI/ML models for realtime or batch processing.
- Assist clients in identifying key use cases for AI/ML guiding them on how to integrate machine learning models into their data architecture for predictive analytics anomaly detection or automation.
Customer Engagement & Support:
- Act as a trusted advisor to customers helping them to solve complex data and AI challenges while ensuring they realize the full potential of Databricks Snowflake and other cloud technologies.
- Develop strong ongoing relationships with customers providing continuous guidance on optimizing their data infrastructure and AI capabilities.
- Partner with customer success and support teams to ensure smooth implementation and ongoing customer satisfaction.
Collaboration & Knowledge Sharing:
- Work closely with Product Management Engineering and Data Science teams to understand product roadmaps new feature releases and customer feedback.
- Train and mentor internal sales teams on the latest advancements in cloud data warehousing data engineering and AI technologies.
- Stay uptodate with emerging trends in AI machine learning cloud data platforms and data engineering methodologies and share that knowledge with the team and customers.
Technical Enablement & Best Practices:
- Build and maintain technical documentation presentations and other collateral to support customer engagement.
- Contribute to the creation of best practices white papers and technical case studies around the integration of cloud data warehouses and AI/ML technologies.
- Lead internal training sessions webinars and knowledgesharing events to educate internal teams and customers on AIdriven data solutions.
Qualifications :
Qualifications:
Technical Expertise:
- Strong experience with cloud data platforms such as Databricks Snowflake or similar solutions (Google BigQuery AWS Redshift etc..
- Indepth knowledge of data engineering concepts including data pipelines ETL/ELT processes and big data processing frameworks.
- Proven experience with AI/ML technologies including model development deployment and integration into data workflows.
- Familiarity with data integration tools realtime data processing and advanced analytics pipelines.
- Experience with cloud environments (AWS Azure Google Cloud) and associated data services for storage processing and analytics.
Sales & Customer Engagement:
- Proven ability to engage with senior technical and business stakeholders demonstrating both technical expertise and business acumen.
- Experience in sales engineering presales support or a similar technical sales role in the data cloud or AI/ML domain.
- Exceptional presentation communication and interpersonal skills with the ability to explain complex technical concepts to a broad audience.
- Strong customerfocused mindset with the ability to articulate the business value of technical solutions.
Experience & Education:
- Bachelors degree in Computer Science Engineering Data Science or a related field (or equivalent practical experience).
- 5 years of experience in cloud data architecture data engineering AI/ML or sales engineering.
- Handson experience with cloud data platforms (Databricks Snowflake etc. and AI/ML tools (TensorFlow PyTorch etc. is highly desirable.
Bonus Skills (Nice to Have):
- Certifications in Databricks Snowflake AWS Azure or other relevant technologies.
- Familiarity with BI tools (Power BI Tableau Looker) and data visualization techniques.
- Experience working in an Agile development environment and with DevOps practices.
- Bonus: supply chain experience (if we want to focus/pitch supply chain projects in our analytics practice)
Additional Information :
Come experience our spirited culture and work with a smart dedicated and highenergy team in a stable and fastgrowing company! Here is a small sample of our benefits and perks we offer:
- Comprehensive Health Insurance with generous employer contribution
- Matching 401(k) $$$$
- Generous PTO Policy
- Virtual Team Lunches
- Wellness Program
- Monthly Mingles
- Birthday Celebrations
- Virtual Events Happy Hours Casino Night Magic Show Scavenger Hunt of National History Museum Game Nights and more
At CoEnterprise we believe diversity drives innovation. We are committed to creating and maintaining a workplace in which all employees have an opportunity to participate and contribute to the success of our business. In recruiting for our team we welcome the unique contributions that you can bring. We value employees for their differences represented by a variety of dimensions including demographics behaviors work style and perspectives.
We are an AA/EOE employer.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
Company Industry
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
