Data Architect

Key Skills

Java Programming, Design, Python Programming, SQL, DevOps, ETL/ELT technologies, Data Modeling, Data Architecture

Job Description

Develops and maintains a formal description of the data and data structures including the data models, data flow diagrams, data dictionaries and technical metadata.

• Understand Enterprise Information Needs
• Develop and Maintain the Enterprise Data Model
• Analyze and Align with Other Business Models
• Define and Maintain the Data Technology Architecture
• Define and Maintain the Data Integration Architecture
• Define and Maintain the Data Warehouse and BI Architecture
• Define and Maintain Enterprise Taxonomies and Namespaces
• Define and Maintain the Meta-data Architecture

Job Responsibilities

• Conceptualizes the overall data architectural framework for large, complex analysis of data for use across the enterprise.
• Responsible for analyzing and translating business, application, information, data, reporting, and analytical requirements into an architectural blueprint that outlines solutions to achieve business objectives.
• Leverages data expertise to ensure an optimal systems design from a technical performance, efficiency and operating cost perspective.
• Monitors and evaluates trends and innovations in the data marketplace to determine if they could effectively enhance the performance of internal systems and/or hardware.
• Designs and implements technical standards relative to the deployed data platforms to ensure their effective maintenance and stable management.
• From a technical perspective, plans significant upgrades or systems enhancements to improve performance and may serve as the project manager for larger enhancements.
• Collaborates with Data Engineers on data model, its maintenance and optimization as well as end-to-end data driven integration strategy.
• Participates in developing the future state data architecture standards, guidelines, and principles.
• Optimizes performance of queries and ELT/ETL procedures. Enhances batch routines by optimizing for more modern near real-time capabilities.
• Builds high quality data pipelines driving analytic solutions.
• Drives data platform architectural decisions and development standards.

Basic Qualifications

• Bachelor’s Degree and at least 4 years of experience in data / analytics architecture, engineering design, configuration experience and/or related field OR High School/GED and at least 7 years of experience in data / analytics architecture, engineering design, configuration experience and/or related field
• At least 1 year of experience in domain-specific Architecture.
• Experience creating cloud base solutions
• Knowledge of DevOps
• At least 2 years of experience contributing to financial decisions in the workplace.
• At least 2 years of direct leadership, indirect leadership and/or cross-functional team leadership.
• Willing to travel up to 10% of the time for business purposes (within state and out of state).

Preferred Qualifications

• Bachelor’s Degree in Computer Science, Mathematics or Information Technology
• Working experience with Cloud technologies