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Data Architect
Hudson Automotive GroupData Architect leading design and evolution of enterprise data architecture at Hudson Automotive Group. Driving data-driven decision-making through cloud data platforms and customer analytics.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing enterprise data architecture strategies, with a strong focus on Snowflake solutions and Customer Data Platforms. Proven ability to lead data governance initiatives and mentor technical teams in data modeling and business intelligence.
Highest-signal resume keywords
Snowflake Solutions ImplementationCustomer Data Platform DesignData Modeling ExpertiseQlik Sense AdministrationData Orchestration Tools Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureData EngineeringEnterprise AnalyticsETL ProcessesELT ProcessesData WarehousingData GovernanceData ModelingBusiness Intelligence SolutionsDocumentation Standards
Soft Skills
Technical LeadershipMentoringCollaboration
Tools & Technologies
SnowflakeQlik SenseAirflowMatillionDbtFivetran
Industry Keywords
Customer Data EcosystemsMulti-Location RetailAutomotive IndustryCustomer-Focused Organizations
Tech Stack
Tools & technologiesAirflowCloudETLMatillion
About the role
Key responsibilities & impact- Design, implement, and maintain Hudson's enterprise data architecture strategy
- Lead the architecture, implementation, and administration of the Snowflake cloud data platform
- Design and build a centralized Customer Data Platform (CDP) that creates a unified customer view across multiple data sources
- Manage and optimize the enterprise Qlik Sense environment and related business intelligence solutions
- Establish and maintain enterprise data governance standards, policies, and best practices
- Partner with business and technology leaders to align data architecture with strategic business objectives
- Mentor and provide technical leadership to data analysts, BI developers, and data engineers
- Develop and maintain enterprise data models, documentation, and reporting standards
Requirements
What you’ll need- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field
- 7+ years of experience in data architecture, data engineering, or enterprise analytics
- 3+ years of hands-on experience designing and implementing Snowflake solutions
- Experience designing Customer Data Platforms (CDPs) or enterprise customer data ecosystems
- Strong expertise in data modeling, cloud data platforms, ETL/ELT processes, and enterprise data warehousing
- Experience administering Qlik Sense or comparable enterprise business intelligence platforms
- Experience with data orchestration tools such as Airflow, Matillion, dbt, Fivetran, or similar technologies
- Experience supporting multi-location retail, automotive, or customer-focused organizations is preferred.
Benefits
Comp & perks- Medical, Dental, Vision, and Life Insurance
- 401(k) with company participation
- Paid Time Off
- Ongoing professional development and career growth opportunities