Senior Specialist - Architecture

Job Description

Develop and design robust data architectures ensuring scalability efficiency and alignment with organizational goals. Utilize expertise in data modeling ETL processes and data warehousing to build comprehensive data solutions. Collaborate with crossfunctional teams to understand complex data requirements and translate them into technical designs. Ensure data quality consistency and accessibility across various data sources and platforms. Stay updated with industry best practices in data governance security and compliance to maintain high standards. Mentor and guide junior team members to enhance their technical capabilities and knowledge in data architecture. Prepare architectural documentation including technical specifications data flow diagrams and implementation plans. Continuously evaluate and optimize data architecture for performance scalability and reliability.

Roles and Responsibilities

• Lead the design and implementation of end-to-end data architecture solutions that meet client business needs.
• Provide technical leadership and guidance to development teams during the execution of data projects.
• Engage with clients to gather requirements offer expert consultation and recommend best practices in data architecture.
• Architect data integration solutions ensuring seamless data flow from multiple sources.
• Optimize data systems for performance scalability and reliability.
• Create and maintain detailed documentation to support data architecture and project delivery.
• Facilitate training sessions and knowledge sharing to promote adoption of data architecture best practices.
• Stay abreast of emerging trends and technologies in data architecture to drive continuous improvement.

Qualifications

Seeking a Senior Specialist with 7 to 11 years of experience in Data Architecture. Must have expertise in data modeling ETL processes and data warehousing. Experience leading data architecture projects and mentoring junior team members is preferred.

Skills

Strong understanding of data architecture principles and best practices. Proficiency in data modeling ETL processes and data warehousing. Excellent communication and collaboration skills. Ability to lead and mentor others. Familiarity with data governance security and compliance standards.

Benefits

• Comprehensive Medical Plan
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

Pay

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Schedule

The posting does not specify a schedule.