Solutions Architect

SoftPathTechnologies; Dallas (TX); On-site; USD 124,000 - 165,000; Full time

Job summary

SoftPathTechnologies is seeking a Solutions Architect Contractor with 6-9 years of Advanced expertise to lead data architecture initiatives in the banking and capital markets fraud domain. The role focuses on defining a Data-as-a-Product strategy and migrating from legacy batch ETL to modern lakehouse and data virtualization approaches.

Responsibilities include collaborating with Enterprise/Solution Architects, designing target-state architectures, and guiding data mesh implementations across

Qualifications

• Advanced level required with 6-9 years of experience in data architecture.
• Experience designing data architecture for large-scale data platforms.
• Familiarity with lakehouse, data mesh and data virtualization approaches.

Responsibilities

• Design and implement a Data as a Product strategy for the domain.
• Develop target-state data architecture using lakehouse and data virtualization techniques.
• Define migration path from legacy batch ETL to modern architecture.
• Collaborate with Enterprise/Solution Architects on portfolio alignment.
• Lead data architecture modernization initiatives across large data platforms.

Skills

Big Data Architect

Data Lakehouse

Data Virtualization

Data Mesh

Tools

Ab Initio

Informatica

Job description

Title: Solutions Architect Contractor: 6-9 years (Advanced)

Locations: New York, NY, DALLAS/IRVING, TX OR JACKSONVILLE, FL.

Description:

Primary Skill Required for the Role: Big Data Architect

Level Required for Primary Skill: Advanced (6-9 years experience)

Additional Details for Role:

EXPECTED MINIMUM DURATION OF 6 MONTHS, W/ STRONG LIKELIHOOD OF EXTENTSION BASED ON PERFORMANCE.

PREFERRED QUALIFICATION: BANKING & CAPITAL MAKETING INDUSTRY EXPERIENCE, SPECIFICALLY IN THE FRAUD DOMAIN.

RESPONSIBILITIES & REQUIRED QUALIFICATIONS:

• Design and develop a "Data as a Product" strategy for the domain.
• Develop target-state data architecture using modern techniques - lakehouse architectures and ETL-free architecture via data virtualization / data mesh.
• Define migration approach from legacy batch-ETL platforms toward the target architecture.
• Partner with Enterprise/Solution Architects on portfolio-level data architecture alignment.
• Extensive experience as a data architect on large-scale data platform modernization initiatives.
• Hands-on familiarity with lakehouse architecture, data mesh, and data virtualization approaches.
• Practical experience migrating legacy ETL platforms (e.g. Ab Initio, Informatica) to modern architectures is highly relevant.