Data Architect w/ Azure Databricks , Medallion

IT Trailblazers - Dallas, TX

Full-time - Senior

Dallas, TX

Professional, Scientific, and Technical Services

About the position

The Data Architect position focuses on developing and enhancing the enterprise data model using Azure Databricks and Medallion architecture. The role requires a strong technical background in data analytics, data modeling, and cloud technologies, with an emphasis on building scalable data solutions and guiding technical teams. The architect will collaborate with business stakeholders to understand their needs and translate them into robust data architecture solutions.

Responsibilities

• Drive Modern Data Platform maturity and development
• Contribute to and successfully deliver the enterprise data model
• Set the technical strategy and lead complex technical initiatives within the team
• Explore technical needs of the business and propose robust solutions through functional data architecture strategy and design
• Gather business and functional requirements and translate these into scalable, operable solutions
• Understand customer pain points and build solutions to make complex data more accessible and usable
• Work collaboratively with business stakeholders to architect, implement, and test data-based analytical solutions
• Develop strategies for data acquisitions
• Architect, design, and maintain high-performing ELT/ETL processes
• Conduct business analysis, event modeling, logical and physical database design, and database optimization
• Design scalable Enterprise Data Architectures and solutions
• Mentor team members where appropriate
• Other duties as assigned

Requirements

• 5-7 years of hands-on experience in building and hydrating data models
• Strong experience with Azure Databricks
• Proficiency in SQL and Python for engineering data pipelines
• 10+ years of experience in Data & Analytics
• Bachelor's degree in computer science, Engineering, or a related field
• Master's degree in computer science, Engineering, or a related field preferred
• Excellent data analysis and Python skills
• Strong background in cloud technologies (AWS, Azure, Google Cloud)
• Understanding of concepts, best practices, and functions to implement an Enterprise Data solution
• Proficient in traditional and modern architectural patterns, software development, and system integration
• Excellent communication and interpersonal skills

Nice-to-haves

• Experience with GPT/LLM, Deep Learning, and Machine Learning
• Proven leadership abilities and experience in working with diverse and globally distributed teams

Benefits

• W2 employment
• Opportunity to work on a long-term project
• Collaboration with cross-functional teams