Data Architect

Job not on LinkedIn

🔥 55 minutes ago

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Hudson Automotive Group

Hudson Automotive Group

1001 - 5000 employees

Founded 1948

🚘 Automotive

🛒 Retail

Automotive • Retail

Hudson Automotive Group is a multi-dealership automotive retailer that sells a wide variety of quality new and used vehicles and provides award-winning service. The company emphasizes customer satisfaction, community involvement, and employee-focused culture ("People are the key to our success"). Its dealerships have received manufacturer awards such as the Toyota President’s Award, Nissan Global Award, Ford’s President’s Award and Honda's President’s Award for excellence in customer service and operations.

📋 Description

• 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

• 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

• Medical, Dental, Vision, and Life Insurance • 401(k) with company participation • Paid Time Off • Ongoing professional development and career growth opportunities

Apply Now

Similar Jobs

🔥 4 hours ago

Spokeo

51 - 200

👥 B2C

☁️ SaaS

🔌 API

Senior Data Engineer at Spokeo developing scalable data pipelines and optimizing big data systems. Driving innovation using AWS, Spark, and Python in a remote setting.

🔥 4 hours ago

Dayforce

5001 - 10000

👥 HR Tech

☁️ SaaS

🏢 Enterprise

Big Data Engineer designing and delivering secure data pipelines at AdvanSix. Collaborating with data teams, leveraging Azure data stack and integrating operational data for analytics.

🇺🇸 United States – Remote

💵 $104.6k - $156.8k / year

💰 $1G Post-IPO Debt - Dayforce on 2024-03

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🔥 4 hours ago

Dayforce

5001 - 10000

👥 HR Tech

☁️ SaaS

🏢 Enterprise

Data Architect defining and governing the architecture for AdvanSix's Unified Data Layer. Collaborating with teams to ensure coherent, secure, and business-ready data solutions.

🇺🇸 United States – Remote

💵 $118.8k - $178.2k / year

💰 $1G Post-IPO Debt - Dayforce on 2024-03

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

🔥 5 hours ago

PressW

11 - 50

🤖 Artificial Intelligence

☁️ SaaS

💼 Consulting

Lead data engineering efforts for healthcare scheduling platform rebuild at PressW. Collaborate with teams to design schemas, build translation layers, and ensure data consistency.

🔥 6 hours ago

Surge AI

51 - 200

🤖 Artificial Intelligence

🔌 API

☁️ SaaS

Research Engineer at Surge working at the intersection of software engineering and AI training data. Owning coding data projects to teach frontier models how to code.