Solution Architect

  • Jersey City, NJ
  • Posted 13 hours ago | Updated 13 hours ago

Overview

On Site
Depends on Experience
Full Time

Skills

Data Architect
Scala
Big Data

Job Details

Greetings everyone,

I hope you are staying safe. We are hiring a Solution Architect to join our Digital Engineering team.

Who are we?

For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check ;/u>

Job Title: Solution Architect

Location: Jersey City NJ

Job Type: Full-Time Only

Job Description:

Key Responsibilities:

Lead data and AI/ML initiatives tailored to investment banking or equity markets, aligning with business goals.

Architect, implement, and optimize end-to-end AI/ML solutions designed for large-scale datasets, ensuring scalability and efficiency.

Leverage AI techniques for data mapping and transformation, enabling seamless integration, unification, and enrichment of complex and heterogeneous datasets across diverse systems and platforms.

Drive cross-functional collaboration, bridging technical teams and business stakeholders.

Oversee data pipeline design, model development, and deployment with a focus on scalability and accuracy.

Drive compliance with policies/standards (e.g., data quality) and adoption of data governance capabilities.

Provide mentorship to teams, fostering innovation and excellence in delivery.

Influence and drive the adoption of front-end solutions to support data visualization and user experiences.

Qualifications:

12+ years of experience, including significant domain expertise in investment banking or equity markets.

Advanced degree in Computer Science, Data Science, or a related field.

Extensive hands-on experience with Python, big-data frameworks, and AI/ML platforms.

Proven expertise in designing and managing large-scale data ecosystems and leveraging AI for data integration and mapping.

Proficiency in front-end development for data visualization or user-centric tools.

Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) and modern data infrastructure.

Exceptional leadership, communication, and strategic thinking skills to manage cross-functional teams and deliver impactful solutions.

Strong ability to thrive in fast-paced and high-pressure financial environments.

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