Data Architect

Job Overview:

PENNEP is seeking a seeking a highly skilled Data Architect with expertise in data warehousing, data engineering, and integration to join our dynamic team. The ideal candidate will have a strong background in architecting data solutions specifically tailored to the needs of Medicaid, DHS, and DOL, understanding the nuances of data management and compliance within government and healthcare environments.

Roles & Responsibilities:

• Design and develop scalable data architectures and models optimized for Medicaid, DHS, and DOL data sets.
• Collaborate with stakeholders, business analysts, and technical teams to understand data requirements and translate them into effective data solutions.
• Lead the design and implementation of data warehousing solutions that support complex data integration and analytics needs.
• Define data integration strategies and oversee the development of ETL processes to ensure accurate and timely data flows.
• Establish data governance and security frameworks to comply with regulatory standards and safeguard sensitive information.
• Optimize database performance and scalability to handle large volumes of transactional and analytical data.
• Evaluate new technologies and tools to enhance data management capabilities and drive innovation.
• Provide technical leadership and mentorship to junior team members in data architecture and engineering best practices.
• Collaborate with cross-functional teams to drive continuous improvement in data quality, accessibility, and usability.

Required Skills and Experience:

• Proven experience in data architecture, data warehousing, and data engineering roles.
• In-depth knowledge of data modeling principles and experience with relational and dimensional data modeling.
• Hands-on expertise with ETL tools, data integration techniques, and data pipeline development.
• Proficiency in SQL, database design, and performance tuning (e.g., Oracle, SQL Server, PostgreSQL).
• Strong understanding of healthcare and government data standards and compliance requirements (e.g., HIPAA, FISMA).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and related data services (e.g., Redshift, BigQuery, Azure SQL Data Warehouse).
• Familiarity with data visualization and BI tools (e.g., Tableau, Power BI) for reporting and analytics.
• Excellent communication skills and the ability to collaborate effectively with diverse teams.
• Strong analytical and problem-solving skills with a proactive approach to identifying and resolving technical challenges.

Education:

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.

About PENNEP:

PENNEP works with national, multinational clients and thrives to become one of the world's leading professional services companies with a vision to transform clients' business, operating, and technology models for the digital era. Our leaders have 50 PLUS Years of combined and unique industry knowledge with a consultative approach that helps clients envision, build and run more innovative and efficient businesses.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview.

PENNEP is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We provide engineering excellence practices training for all our employees.

Job Type: Contract

Pay: $100.00 per hour

Expected hours: 40 per week

Experience level:

• 5 years

Schedule:

• Day shift

Education:

• Bachelor's (Required)

Experience:

• Data Architect: 5 years (Required)
• Data warehouse: 5 years (Required)
• Data integration: 5 years (Required)
• Medicaid: 5 years (Required)

Ability to Relocate:

• Honolulu, HI 96813: Relocate before starting work (Required)

Work Location: In person

Salary : $100