Title: Data Architect
Contract: W2 AND C2C
Location: Dallas, TX (Hybrid)
Duration: 12+ Months
Work Arrangement: Most probably Hybrid
Interview Mode: Webcam
*Need Azure Databricks Experience
Only USC, H4-EAD AND TN
Job Description:
• Drive Modern Data Platform maturity and development
• Contributes and successfully deliver enterprise data model
• Set the technical strategy & leads complex technical initiatives within the team
• Explore technical needs of the business and proposes robust solutions through functional data architecture strategy and design
• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
• Understand customer pain points, builds solutions to make large and/or complex data more accessible, understandable and usable by applications and teams
• Work collaboratively with all levels of business stakeholders to architect, implement, and test data based analytical solutions from disparate sources
• Develop strategies for data acquisitions
• Architect, design and maintain high-performing ELT/ETL processes
• Work closely with the Users, systems designers, and the developers on a Project team
• Conduct business analysis, event modeling, logical and physical database design, database optimization, load strategy design and implementation, security and change management
• Design scalable Enterprise Data Architectures and solutions
• Mentor others on the team where appropriate
• Other duties as assigned
Top Skills' Details
1. 5-7 years of hands-on experience, the ability to build and hydrate data models, guide the technical team, and establish technical standards and processes. – Will need to build out the Enterprise Data Model and understand their current business processes (Medallion Architecture).
2. Azure DataBricks – Would prefer someone who has helped move to Azure Databricks platform since this is their journey right now.
3. SQL/Python – this person will need to be technical and help engineer data pipelines and build stored procedures/views because everyone on this team needs to be technical and pick up the load in their “startup” environment
4. 10+ years in Data & Analytics
Minimum Qualification
• Bachelor’s degree in computer science, Engineering, or a related field.
• Master’s degree in computer science, Engineering, or a related field preferred.
• 10+ years of experience in data & analytics.
• Ability to demonstrate excellent data analysis and python skills
• Demonstrates an understanding of concepts, best practices, and functions to implement an Enterprise Data solution.
• Strong background in cloud technologies (AWS, Azure, Google Cloud), GPT/LLM, Deep Learning, and Machine Learning and understanding how to leverage them in construction contexts.
• Proficient in traditional and modern architectural patterns, software development, and system integration.
• Demonstrated ability to think strategically and integrate a broad range of ideas regarding product development.
• Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams and manage stakeholder expectations.
• Proven leadership abilities and experience in working with diverse and globally distributed teams.