Data Architect

Kforce•Scottsdale, AZ

27d

About The Position

The Data Architect is responsible for designing, creating, and managing an organization's data architecture. This role ensures that data is organized, accessible, secure, and aligned with business objectives. The Data Architect designs warehouses, file systems, and databases, and defines how data will be collected and organized. In this role, you will use data to make business decisions and move into analytics. You must be able to communicate the importance of data management to the business side.

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
Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau
Experience with database technologies such as SQL, NoSQL
Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques
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)
Strong ability in programming languages such as Java, Python, and C/C++
Strong analytical and problem-solving skills
Ability in data science languages/tools such as SQL, R, SAS, or Excel
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
Ability to regularly learn and adopt new technology, especially in the ML/AI realm
Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings
Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders
Ability to guide solution design and architecture to meet business needs

Responsibilities

Interpret and deliver 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
Translate 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
Evaluate and recommend emerging technologies for data management, storage, and analytics

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