Data Architecture Consultant

In this role,

you will work closely with technical leads, fellow developers, our client solutions team, and client stakeholders. You will be part of agile/scrum ceremonies and will work as a contributor within these ceremonies. 
Within three months, you will have ingrained yourself with your project and its goals, while developing strong relationships within and outside of your team.
Within one year, you will have worked across various client and internal Levvel teams to build solutions, whether those be for clients or for internal initiatives. As a seasoned engineer at Levvel, you will have engaged internally to foster and develop your skill sets and invested time in honing new ones. At Levvel, being a part of the engineering capability means continuing to help us live our core values and culture, as well as drive growth through quality and consistent work and interactions.
At Levvel we value career growth and expansion. You will have various opportunities to grow into the career you desire. We offer mentorship programs and multiple career tracks to help you achieve your personal and professional goals.


Meet and coordinate with internal and external stakeholders to establish project scope, system goals, and requirements
Help translate business requirements into technical specifications for data consumption and use
Provide guidance on appropriate data platform(s) (repository, database, etc.) to meet requirements  
Accurately map data attributes between different domain models
Develop, analyze, prioritize, and organize requirement specifications, data mapping, diagrams, data models and flowcharts for developers and testers to follow
Help deploy and troubleshoot application data pipelines across various architectural environments that will vary by client from legacy to modern including application servers, queues, API gateways, databases, etc. or cloud-based equivalents

Required Qualifications

Typically has 5+ years of experience with varied technical experience in designing/developing data pipelines and data stores
Demonstrated experience designing data architecture(s) for both application(s) and Business Intelligence/Analytical usage 
Understanding of conceptual, logical and physical data modeling
Extensive experience with at least one data Query Language such as SQL, CQL, Transact-SQL, etc.
Extensive experience with relational, non-relational and in memory database technologies (Oracle, SQL Server, GraphQL, DynamoDB, MongoDB, PostgresSQL, Redis, ElastiCache, etc).
Experience in ETL (AWS Glue, Azure DataFactory, Apache NiFi, etc), creating data lakes from multiple data sources.
Create and define data interfaces and provide end-to-end vision on how data flows throughout the business process.
Experience with a variety of data systems and performance tuning approachesKnowledge of a variety of architectural principles like hub and spoke, bus, event driven software architectures, etc.
Working knowledge of Data Science technology stacksWorking knowledge of BI data analytical products
Working knowledge of Big data on cloud platforms
Excellent verbal and written communication skills 
Ability to present technical solutions to both technical and non-technical audiences.
Strong ability to review existing codebases/processes and refactor for improvement vs starting over
Strong problem solver 
Professional presence
Bachelor’s Degree or equivalent experience
Desired Qualifications
Consulting experience
Experience in Transportation & Logistics and/or Payments
Location: Ridgewood, NY - 11385
Full time
Ridgewood, NY 11385, US