Job Title: Technical Data Integration Consultant

Location: USA Remote

Duration: Contracting / CTH

The person for the role should have a services/consulting background implementing SAAS solutions, who are enthusiastic about data/integration and strive to produce high quality results. The successful candidate should be knowledgeable about data modeling, data analysis techniques, data quality and system integration (cloud, on-premise & hybrid). They should also possess good interpersonal & communication skills to be able to perform the technical lead duties on a project.

Responsibilities include:

* Requirement gathering for data modeling, SaaS integration, and application configuration.

* Translate requirements and corresponding business processes into technical integration requirements & design

* Managing the interdependencies and sequencing of implementing multiple products with conflicting priorities

* Leading design and technical architecture discussions and identifying & assessing solution alternatives

* Working with the customer’s stakeholders to advice the best integration strategy for the SAAS product solution with their existing applications. Help them design/implement the solution.

* Working with Cloud SAAS product customers and Pricing Scientists to build a data pipeline for use in Cloud SAAS product platform and analytics solutions

* Interfacing with the customer’s IT group to acquire and integrate the data in both directions and assist with data-related technical issues, as needed

* Partnering with the project team on code design for the project and to ensure that best practices are followed

* Actively engaging in each assigned project to assist with the identification and implementation of business rules

* Proactively ensuring the quality of the data being entered into the system and use Cloud SAAS product tools to build tests to ensure the quality throughout the process

* Identifying opportunities for improvement and helping to drive those requirements through the system

* Documenting the project data model, assumptions and the business rules

* Working with and delegate work to Data Engineers to complete tasks where needed

* Travelling to customer locations (10-15% travel, as health conditions permit)

Required Experience:

* Bachelor’s degree. Prefer Computer Science or related, or comparable experience

* 3 to 6 years of relevant consulting or services experience, preferably with SAAS Implementation projects for external customers. A purely engineering background will not be a good fit unless it is in a large enterprise company with multiple internal customers.

* Strong SQL Server or similar RDBMS development skills with Big Data Technologies exposure

* Solid understanding of data integration methodologies including ETL and ELT (e.g. Matillion) from variety of sources including database, API and streaming service.

* Hands on experience with integration architecture patterns, API/ webservices technologies and enterprise messaging patterns both pre-designed or custom.

* Experience of designing for performance and performance tuning.

* Experience collaborating with business and IT teams on requirements, design, security, infrastructure, networking, QA areas to ensure alignment and compliance.

* Experience of managing and working with offshore resources

* Experience with Big Data storage and analytics technologies is desired

Preferred Experience:

* AWS stack in a multi-tenant environment including RedShift, Aurora, Spark, S3 etc.

* Force.com configuration and some development using APEX, Visualforce, Lightning components etc.

* Working knowledge of leading CRM/ERP solutions (SAP, Oracle, MS Dynamics etc.)

* Designing high performance Analytics with Tableau or similar visualization tool

* Experience with pricing & quoting applications a plus

* Configuring CRM, CPQ, and / or pricing SaaS application (e.g. Salesforce CPQ, Apttus, Conga, PROS, Vendavo)

Required Skills:

* Working knowledge of Systems Integration in a complex enterprise environment

* Excellent understanding of data pipeline techniques and tools including high volume and performance.

* Excellent troubleshooting skills – ability to find data quality and performance issues quickly and effectively

* Ability to work collaboratively within a team environment of cross functional and cross vendor teams.

* Ability and desire to learn new technologies in a fast-paced environment

* Strong communication skills