- |
Data Architect
Schaumburg, IL
ApplyResponsibilities
- Work on Data Warehouse, Data Lake and BI projects for clients
- Design and develop software tools into existing resources. Be responsible for design, coding, testing, packaging, debugging, documentation and deployment of software systems.
- Work independently to produce required functional, technical, and user documentation (e.g., business requirements, functional and technical specifications, system architecture, data flows, end-users training requirements) on assigned projects.
- Work and collaborate with data engineers, scientists, engineers and IT operations to build tools manipulating data
- Forge strong partnership with our client’s stakeholders to ensure success of data initiatives
- Resolve critical data issues as they arise
- Implement fault tolerant data integrations between internal systems and with third-party APIs, supporting product and marketing needs
- Create and integrate internal A/B testing tooling for engineering and product teams
- Tool data systems for observability, including logging, metrics monitoring, and dashboarding
- Assist with data-related technical issues and support their data infrastructure needs.
- Build the infrastructure required for efficient extraction, transformation, and loading of data from a wide variety of data sources
- Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
- Build and maintain optimal data pipeline architecture
2+ years of minimum experience is required in the following
- Python
- SQL
- REST API
- Building Data Pipelines
- Data Lakes
- ETL Framework
- Pub/Sub Architecture
Bonus:
- JavaScript
- Snowflake
- Tag Management Systems (Google Tag Manager and/or Tealium)
- Apache Airflow
- Big Query
- Google Cloud Platform
- Apache Kafka
- Postman
- Server-side JavaScript
Skills
- Python
- SQL
- REST API
- Building Data Pipelines
- Data Lakes
- ETL Framework
- Pub/Sub Architecture
Job Details
- Seniority Level
- Senior Level
- Employment type
- Full Time