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
Requirements
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 Business Intelligence/Analytical usage
Understanding of data modeling and data mapping
Experience with Data Warehouse and Data Mart
Experience with TFS, Microsoft SQL Server, Microsoft SSIS, Power BI
Extensive experience with SQL
Extensive experience with relational and non-relational database technologies (Oracle, MS SQL Server, GraphQL, DynamoDB, MongoDB, PostgresSQL, Redis, ElastiCache, etc)
Experience in ETL (AWS Glue, Azure DataFactory, Apache NiFi, etc)
Experience with a variety of data systems and performance tuning approaches
Knowledge of a variety of architectural principles like hub and spoke, bus, event driven software architectures, etc
Working knowledge of Data Science technology stacks
Working knowledge of BI data analytical products
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
Tech Stack
Apache
AWS
Azure
Cloud
DynamoDB
ETL
GraphQL
MongoDB
MS SQL Server
Oracle
Redis
SQL
SSIS
TFS
Benefits
Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options
Flexible Spending Accounts (Medical, Transit, and Dependent Care)
Employer Paid Life Insurance and AD&D Coverages
Health Savings account paired with our low-cost High Deductible Medical Plan
401(k) Safe Harbor Retirement plan with employer match with immediately vest