Technical Consultant

Austin, TX/ Remote

Long term contract

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 client

solution with their existing applications. Help them design/implement the solution.

 Working with client customers and Pricing Scientists to build a data pipeline for use in client

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 client 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, Apptus, 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