Data Architect

$165,000 - $175,000/Yr

Cornerstone Advisors - Scottsdale, AZ

Full-time - Senior

Remote - Scottsdale, AZ

Professional, Scientific, and Technical Services

About the position

The Data Architect at Cornerstone Advisors is responsible for designing, creating, and managing the organization's data architecture. This role focuses on ensuring that data is organized, accessible, secure, and aligned with business objectives. The Data Architect will design data warehouses, file systems, and databases, and define how data will be collected and organized to support business initiatives.

Responsibilities

• Interprets and delivers impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps.
• Designs the structure and layout of data systems, including databases, warehouses, and lakes.
• Defines and implements the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms.
• Designs and implements processes for the ETL process from various sources into the organization's data systems.
• Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards.
• Simplifies the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company.
• Defines and manages standards, guidelines, and processes to ensure data quality.
• Evaluates and recommends emerging technologies for data management, storage, and analytics.

Requirements

• A bachelor's degree in computer science, data science, engineering, or related field.
• At least five years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives.
• Experience leading projects involving data warehousing, data modeling, and data analysis.
• Design experience in Azure Databricks and Power BI.
• Strong ability in programming languages such as Java, Python, and C/C++.
• Ability in data science languages/tools such as SQL, R, SAS, or Excel.
• Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks).
• Experience with database technologies such as SQL, NoSQL.
• Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques.
• Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture.
• Ability to assess traditional and modern data architecture components based on business needs.
• Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau.

Nice-to-haves

• Data modeling experience (1 year preferred)

Benefits

• Health insurance
• Dental insurance
• 401(k)
• Paid time off
• Vision insurance
• 401(k) matching