Data Solutions Architect — Shape Scalable Data Platforms

Fractal Analytics Inc; New York (NY); On-site; USD 155,000 - 165,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) plan

Job summary

Fractal Analytics Inc in New York, NY is seeking a Data Solutions Architect to translate goals into technical specs and design scalable data solutions. You will guide architecture across data governance, BI, and data science, and work with IT and business units to ensure data platforms meet evolving needs.

Candidates should have 3–4 years in data management and strong SQL skills, with experience across cloud, on-premises, and hybrid environments.

Qualifications

• 3–4 years of experience in data management disciplines including data integration, data modeling and architecture.
• Knowledge of BI, data engineering, data science and data governance processes.
• Strong SQL and database theory knowledge including relational and non-relational systems.
• Experience across cloud, on-premises, and hybrid deployment environments.

Responsibilities

• Translate business requirements into technical specifications for analytics projects.
• Design fit-for-purpose data solutions and define data architecture.
• Lead data architecture planning and development; guide future updates.
• Collaborate with IT and business stakeholders to align data strategies.

Skills

Data architecture

Data modeling

Data integration

SQL

Data governance

Cloud deployment

Education

Bachelor's degree in data management, computer science, information systems, mathematics, data/analytics or a related field

Job description

Fractal Analytics Inc in New York, NY is seeking a Data Solutions Architect to translate goals into technical specs and design scalable data solutions. You will guide architecture across data governance, BI, and data science, and work with IT and business units to ensure data platforms meet evolving needs.

Candidates should have 3–4 years in data management and strong SQL skills, with experience across cloud, on-premises, and hybrid environments.