Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Skills
Data Modeling
Adobe
Amazon Kinesis
Amazon Redshift
Amazon Web Services
Apache Kafka
Cloud Computing
Data Architecture
Databricks
ELT
Google Cloud
Google Cloud Platform
Informatica
Marketing
SQL
Streaming
Master Data Management
Artificial Intelligence
Enterprise Architecture
Job Details
Role: Data Architect
Location: Chicago / Dallas / NY / Spring Field, MO (Onsite)
Required Skills & Experience
- 8+ years of experience in data architecture, data engineering, or enterprise architecture.
- Proven expertise in Snowflake or other cloud-native data platforms (BigQuery, Redshift, Databricks).
- Strong background in data modeling, MDM (Informatica, Reltio, or similar), and identity resolution.
- Hands-on experience integrating with CDPs (ActionIQ, Adobe RT-CDP, Segment, mParticle) and MarTech platforms (Adobe, Salesforce Marketing Cloud).
- Advanced skills in SQL, ETL/ELT pipelines, data APIs, and streaming technologies (Kafka, Kinesis, Pub/Sub).
- Experience designing and deploying data solutions on cloud platforms (preferably Google Cloud Platform / Google Cloud Platform), including services for data storage, processing, and analytics.
- Experience with Cognity AI app.
- Solid understanding of data privacy regulations and consent/opt-in management.
Preferred Qualifications
- Certifications in Snowflake, AWS/Google Cloud Platform/Azure data services, or ActionIQ CDP.
- Experience with tag management data layers (GTM, Adobe Launch) and web/mobile analytics instrumentation.
- Prior consulting or digital agency experience in MarTech or enterprise marketing data transformations.
Soft Skills
- Ability to translate marketing requirements into scalable data solutions and communicate effectively with both technical and non-technical stakeholders.
- Strong leadership in discovery phases, with experience creating architecture blueprints, roadmaps, and migration strategies.
- Balance of strategic vision and hands-on technical expertise.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.