Overview
Hybrid3 days onsite
$70 - $75
Full Time
Accepts corp to corp applications
No Travel Required
Skills
Agile
Amazon Web Services
Cloud Computing
Collaboration
Communication
DDL
Data Architecture
Informatica
Leadership
Mentorship
Microsoft Azure
Oracle
PowerDesigner
Databricks
EDC
ERwin
Extract
Transform
Load
FOCUS
IT Management
Data Engineering
Data Integrity
Data Modeling
Data Quality
Data Warehouse
Python
Quality Assurance
SAFE
SQL
Scripting
Snow Flake Schema
Job Details
Title: Developer - Snowflake Engineer Lead/Architect
Position Type: contract to hire
Location: Minnesota (Local DL Required)
Onsite Flexibility: Hybrid 3 days a week in the office
Type: Contract-to-Hire (6 12 months with likely extensions)
**Overview:
This role will lead enterprise-scale data architecture and engineering initiatives in a hybrid Snowflake and cloud environment (AWS). You ll help shape our long-term data strategy while mentoring engineers and ensuring scalable, high-quality data solutions.
Key Responsibilities:
- Serve as technical lead for multiple Snowflake-based data initiatives
- Architect and build scalable, high-performance Snowflake data pipelines and solutions
- Convert conceptual and logical data models into robust physical implementations
- Guide and mentor a team of Snowflake and ETL engineers
- Collaborate closely with Product Owners, Domain Architects, QA, and business stakeholders
- Create and maintain source-to-target mappings, and ensure data integrity across systems
- Optimize pipeline performance and ensure solutions meet non-functional requirements
- Support Agile delivery practices across teams and projects
Tech Stack:
- Must-Have: Snowflake, AWS, SQL, Snowpipe/Ingestion pipelines
- ETL: Informatica, DataStage, or similar tools
- Bonus: Databricks, Python, Oracle, Azure, ERwin, PowerDesigner
Required Qualifications:
- 12 20 years of IT experience with a strong focus on data engineering and architecture
- 7+ years of experience building enterprise data solutions and warehouses
- Expertise in Snowflake architecture, implementation, and pipeline optimization
- Strong data modeling (3NF, dimensional), SQL, and DDL scripting skills
- Experience with ingestion frameworks, data quality, and governance
- Proven leadership experience with the ability to lead and mentor technical teams
- Excellent communication and collaboration skills across technical and business groups
- Financial services experience (especially in data warehousing)
- Experience with Agile/SAFe methodologies
- Familiarity with data cataloging tools (e.g., Informatica EDC) and governance frameworks
- Certifications: CDMP, CBIP, Snowflake, AWS, or equivalent
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.