Sales Engineer - Enterprise Software

Role

As a Sales Engineer, you will be part of the Sales Engineering team and will demonstrate the capabilities of Adeptia Connect to prospects and customers. You will be responsible for understanding customer needs, providing technical expertise, and demonstrating how our products and services can solve their problems. This role requires a combination of sales skills, technical knowledge, and excellent communication abilities.

Responsibilities

• Collaborate with the sales team to identify customer requirements and provide technical solutions during the sales process.

• Conduct product demonstrations to help validate the Adeptia Connect Platform during the sales process. Additionally conduct, presentations, and workshops to showcase the value and benefits of our solutions to potential customers.

• Implement proof of concepts and pilots through customer data and requirements in order to prove validation of the Platform.

• Scheduling meetings with prospects and articulate how the product addresses the different use cases related to B2B data onboarding and integration.

• Understand customer needs and requirements through effective discovery, qualification, and scoping sessions..

• You will be responsible for conceptualizing, designing, and building data pipelines, templates, data transformations and services, while contributing towards the successful completion of a sales process.

• You will work on multiple sales opportunities at any given time and work closely with the Sales team.

• Learn common use cases of different industry verticals and prepare pre-packaged solutions that can be demoed easily.

• Work closely with cross-functional teams, including engineering, product management, and customer support, to ensure customer satisfaction and drive continuous improvement.

Requirements

Qualifications / Experience / Technical Skills

• 5 years of work experience building data integration pipelines on data-heavy environments (Data Engineering, Backend with emphasis on data processing, Data Science with emphasis on data formats and transformations)

• Excellent presentation skills with strong written, verbal skills.

• Ability to articulate a point of view and good communication, collaborative demeanor with work experience in distributed teams.

• Background in data engineering and a proven track record of solving complex data problems and designing solutions.

• Strong knowledge of APIs, how to integrate and publish web services.

• Strong knowledge of common analytical domain programming languages such as Java, Javascript.

• Strong knowledge of data transformation languages such as XSLT.

• Strong knowledge of XML, JSON.

• Strong knowledge of SQL.

• Strong knowledge of EDI, HIPAA, HL7 and other industry standards is a plus.

• Strong knowledge of Data Pipeline Orchestration tools (BPMN).

• Experience with Data Warehousing Solutions (Snowflake, Redshift, BigQuery, MongoDb) is a plus.

• Experience with building Data Quality checks and Data Integrity Rules.

• Experience with Data Streaming (Message Queue, Kafka).

• Experience with integrating data with cloud apps such as Salesforce, Netsuite, Quickbooks etc.

• Experience with ERP applications such as SAP, Oracle is a plus.

• Experience in working in a Sales organization is a plus.

• Bachelor's degree in Computer Science, Data Science or Information Systems.