Overview
Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
Databricks
Data Modeling
Data Processing
Data Warehouse
Database
Database Design
Data Architecture
Data Engineering
Data Integration
Data Management
Debugging
Communication
Computer Science
Conflict Resolution
Data Acquisition
Data Archiving
Analytical Skill
Analytics
Business Intelligence
Cloud Computing
Optimization
IT Management
Information Systems
Leadership
Mentorship
Microsoft SQL Server
Collaboration
Decision-making
Release Management
Reporting
Requirements Elicitation
Documentation
Extract
Transform
Load
Forecasting
Problem Solving
Recovery
SQL
Streaming
Version Control
Warehouse
Job Details
Job Title:- Data Architect
Location:- Phoenix, AZ (Hybrid)
The Data Architect is a technical position, with ultimate technical responsibility for ETL design and development. The Data Architect designs and builds databases, develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. The candidate for this position will have a deep understanding and many years of experience working with SQL.
OVERVIEW OF RESPONSIBILITIES
- Databricks: Lead the design, development, and optimization of enterprise-scale Databricks pipelines for batch and streaming data, ensuring scalable, secure, and high-performance data processing across cloud environments.
- Data Modeling (nice-to-have): Support the creation and optimization of data models to enhance analytics, reporting, and business intelligence initiatives.
- Collaborate with business stakeholders to understand data requirements and design solutions to meet business needs.
- Provides technical leadership, creates standards for technical approaches and/or practices for their platform
- Maintains standards for interaction with their platform
- Is responsible for the overall health and efficiency of their platform
- Proactively work with other cross functional partners to keep their platform at a reasonable version level
- Maintains awareness of trends, new tools, efficiencies - shares with entire team on routine basis
- Establishes standards and best practices for database design, data integration, and data warehousing, ensuing integrity and quality data.
- Provides input and guidance to senior IT leadership for planning, forecasting, and budgeting
- Design, document, develop, test, debug, deploy, and support a variety of customizations or configurations for their platform
- Provide leadership and mentorship to data engineering teams in the execution of data architecture plans
- Collaborate with Data Engineers, Software Developers, and Business Analysts to ensure data architecture is aligned with operational analytic needs
QUALIFICATIONS
- Bachelor s degree in computer science, Information Systems, Data Management or 7-10 years of
- equivalent experience
- 10+ years of experience with Microsoft SQL technologies
- Strong verbal and written communication skills, analytical and decision-making skills, and ability to
- work on cross-functional teams
- Solid understanding and usage of source control solutions
- Change and release management skills
- Strong requirements gathering and documentation skills
- Strong analytical and problem-solving skills
- Lead the design, development, and optimization of enterprise-scale Databricks pipelines for batch and streaming data, ensuring scalable, secure, and high-performance data processing across cloud environments.
Data Modeling (nice-to-have): Support the creation and optimization
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.