Data Architect

RESPONSIBILITIES

Kforce has a client in Kansas City, MO that is seeking a Data Architect.

Overview

The Data Architect will define and drive enterprise data strategy and architecture, ensuring data is governed, secure, consistent, and usable across the organization. This role establishes data standards and provides leadership across data quality, integration, normalization, reporting, analytics, AI readiness, and modernization. A key focus is developing repeatable methods for profiling, mapping, converting, and validating data from acquired books of business while defining the future-state roadmap for the enterprise data warehouse and analytics platforms.

Responsibilities

• Develop enterprise data strategy, target architecture, standards, and a multiyear modernization roadmap
• Establish governance for data ownership, stewardship, quality, classification, retention, lineage, access, and usage
• Define canonical models, business definitions, systems of record, and normalization standards for critical data domains
• Create repeatable processes for profiling, mapping, cleansing, converting, validating, and integrating acquired books of business
• Lead architecture for the future data warehouse and Microsoft Fabric, Power BI, reporting, analytics, and AI capabilities
• Define standards for data models, ETL/ELT, APIs, pipelines, metadata, master/reference data, and integrations
• Establish measurable data-quality controls and resolve material issues and conflicting definitions with business owners
• Maintain data flow, lineage, integration, and architecture documentation
• Partner with architecture, Azure, DBA, Security, PMO, application, and business teams on conversions, integrations, application replacements, and modernization
• Identify data risks, technical debt, privacy, regulatory, audit, retention, and access-control requirements
• Recommend scalable, maintainable solutions based on business value, risk, and cost

REQUIREMENTS:

• Bachelor's degree in Information Systems, Computer Science, Data Management, or a related field, or equivalent experience; Eight or more years of progressive data architecture, data management, or data engineering experience
• Demonstrated success developing enterprise data strategies, governance practices, architecture roadmaps, and complex data migration, conversion, normalization, or acquisition-integration solutions
• Strong knowledge of data modeling, quality, integration, warehousing, metadata, master/reference data, relational databases, cloud data platforms, ETL/ELT, APIs, pipelines, security, privacy, retention, and regulatory compliance
• Ability to translate business needs into actionable architecture and establish accountability

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.

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