Senior Data Architect - Kforce Inc.
Scottsdale, AZ 85252
About the Job
- Senior Data Architect will design, create, and manage the company's data architecture
- Analyze 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, file systems 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
- As a Senior Data Architect, you will 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 initiatives
Requirements:
- BS or MS degree in Data Science, Computer Science, Engineering, or related field
- At least 5-7+ 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 is desired
- Experience with database technologies such as SQL, NoSQL, etc.
- Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau
- 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/or C/C++
- Ability in data science languages/tools such as SQL, R, SAS, and/or Excel or similar
- 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
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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