Data Architect

Kforce Inc; Quincy (MA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

401(k) and life insurance

Paid time off

Job summary

Kforce Inc. is hiring a senior data architect/engineer to lead the design, development, and governance of enterprise data platforms. You will partner with business and technology teams to ensure scalable, secure data solutions that enable accurate reporting and advanced analytics.

You will mentor engineers, establish standards, and drive a long-term data and AI roadmap while delivering on cross-functional initiatives in a fast-paced environment.

Qualifications

• 10+ years of experience in data engineering, data architecture, or related roles.
• Proven experience delivering large-scale data platforms in production.
• Experience with cloud-based data platforms and distributed processing.
• Experience implementing master data management and customer data strategies.
• Strong SQL, data modeling, ETL/ELT, and data warehousing expertise.
• Knowledge of data governance, data quality, security, and regulatory compliance.
• Familiarity with AI-enabled development practices and modern software standards.
• Excellent communication and stakeholder management skills.
• Ability to lead technical teams and drive project delivery.

Responsibilities

• Lead design, development, and optimization of enterprise data platforms and analytics environments.
• Build and maintain scalable data solutions supporting reporting, forecasting, and insights.
• Define data standards, governance, security controls, and access management practices.
• Partner with business and tech teams to establish data requirements and quality expectations.
• Develop and oversee master data strategies across key domains.
• Establish data quality, lineage, monitoring, and observability frameworks.
• Support privacy, compliance, and data protection initiatives with governance.
• Drive AI and advanced analytics by enabling trusted data foundations.
• Establish engineering best practices, development standards, and review processes.
• Mentor technical team members and provide architectural guidance.

Skills

SQL

Data Modeling

ETL/ELT

Data Warehousing

Cloud data platforms

Data governance

Leadership

Stakeholder management

AI/Advanced analytics

Security/compliance

Job description

Responsibilities

• Lead the design, development, and optimization of enterprise data platforms and analytics environments
• Build and maintain scalable data solutions that support reporting, forecasting, customer insights, and business decision-making
• Define data standards, governance policies, security controls, and access management practices
• Partner with business and technology teams to establish data requirements, integration standards, and quality expectations
• Develop and oversee master data strategies across key business domains
• Establish data quality, lineage, monitoring, and observability frameworks
• Support privacy, compliance, and data protection initiatives through technical controls and governance processes
• Drive AI and advanced analytics capabilities by enabling trusted, well-governed data foundations
• Establish engineering best practices, development standards, and review processes
• Mentor technical team members and provide architectural guidance across data initiatives
• Create and maintain a long‑term roadmap for data, analytics, and AI capabilities

Requirements

• 10+ years of experience in data engineering, data architecture, or related technical roles
• Proven experience designing and delivering large‑scale modern data platforms in production environments
• Experience working with cloud‑based data platforms and distributed data processing frameworks
• Experience implementing master data management and customer data strategies
• Strong expertise in data modeling, data integration, ETL/ELT processes, and data warehousing concepts
• Knowledge of data governance, data quality, data security, and regulatory compliance requirements
• Familiarity with AI‑enabled development practices and modern software engineering standards
• Advanced skills in SQL and modern data engineering technologies
• Strong communication and stakeholder management skills
• Demonstrated ability to lead technical teams, establish standards, and drive successful project delivery

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.
• This job is not eligible for bonuses, incentives or commissions.

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.

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.