Data Architect

3 weeks ago


Richardson Texas, United States Crash Champions Full time
Champions Do More:
At Crash Champions, We Believe the Difference is Trust. Crash Champions is the one of the fastest growing and most exciting brands in the collision repair industry. The company is the largest founder-led multi-shop operator (MSO) of high-quality collision repair service in the U.S., serving customers and business partners at more than 600 state-of-the-art repair centers in 36 states across the U.S. Crash Champions was founded in 1999 as a single Chicago repair center by industry veteran and 2022 MSO Executive of the Year, Matt Ebert. For more information, and to locate a local repair center, visit (url removed).

Responsibilities:
Crash Champions is seeking an experienced Data Architect to join our team and lead the data warehouse team in designing and implementing data architecture solutions on the Microsoft Fabric platform. The data architect will manage the data warehouse team of developers to ensure the solutions meet the business needs to support business intelligence and data integration. The ideal candidate should have extensive experience in Microsoft Fabric stack of technologies, including Azure Synapse Data Engineering and Azure Data Factory, along with hands-on experience in ETL/ELT and cloud migration. This role brings deep technical expertise, proven leadership experience, and excellent teamwork abilities.

 

Responsibilities: 

Designs and updates data architecture to meet the changing business needs and new technology capabilities.

Provide hands-on guidance, mentoring, and validation for data warehouse team of developers and DBA, leading and communicating effectively with various business stakeholders.

Provide hands-on development of new data solutions, master data management, and ETL / ELT processes, using data modeling and SQL skills to optimize scalability, performance tuning, reliability, and security of data systems and ensure data quality and consistency.

Communicates insights and technical solutions to business stakeholders.

Demonstrate leadership experience by collaborating with stakeholders, business users, data and BI developers, and IT leadership, to understand their data requirements.

Core Competencies:

Teamwork - Builds strong relationships and works collaboratively with others to meet shared goals; Strengthens relationships by promoting mutual trust and supporting teammates.

Accountability - Holds self and others accountable to meet and exceed commitments; Focuses on quality results, monitors progress, learns from mistakes, and strives for improvement.

Results Driven - Can be counted on to drive pace to achieve results and consistently meet or exceed expectations; Executes priorities with a focus on critical work to achieve targeted goals.

Sound Judgment - Makes good decisions by analyzing the situation, leveraging experience, and using available information; Objectively evaluates problems, discovers root causes, and works toward timely resolution.

Customer Focus - Maintains a relentless focus on customers and is committed to the continuous improvement of services; Keeps internal and external customers in mind at all times and strives to proactively address customer concerns and needs.

Specialized Competencies:

Interpersonal Skills - Ability to create positive interactions with customers.

Multi-Tasking - Ability to work and successfully complete many different tasks at the same time

Problem-Solving - Ability to determine solutions to customer problems quickly and effectively

Excellent Written and Verbal Communication - Ability to provide clear, concise information in writing, via phone or in-person

Qualifications:
Demonstrate extensive experience in data architecture and data team management

Design and implement cloud-based solutions using Microsoft Fabric technology stack and Microsoft SQL Server, including Azure Synapse Data Engineering, Azure Data Factory, Synapse Data Science, Synapse Data Warehouse, Synapse Real-Time Analytics, Onelake, and Power BI, with a focus on data migration, movement, and transformation.

Implement ETL design patterns for data warehousing using Kimball methodology and master data management, with expertise in T-SQL scripting, query optimization and data governance

Strong analytical, problem-solving, and critical thinking skills, along with attention to detail, data validation, and documentation.

Full lifecycle development (SDLC) skills using Azure DevOps and source code management tools like Git/GitHub and CI/CD pipelines

​Bachelor’s degree in Computer Science, Engineering, Management Information Systems, Mathematics, Economics, or other related fields with experience

Must be a U.S. Citizen or Permanent Resident

Benefits:
Competitive pay

Weekly Paychecks

401K with company match

Medical/Vision/Dental Insurance

Additional elective benefits


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