Senior Data Architect / Data Engineer

Location: NY/NJ or Lake Mary, FL (Hybrid – 3 days onsite)

• Data Architect:

INDUSTRY EXPERIENCE:

• Strong Financial Services domain experience
• Experience in Capital Markets, Securities, Asset Management, or Broker-Dealer
• Must have worked with top-tier financial services firms
• Expertise in Risk Reporting, Data Models, and Data Structures (Architect Level)
• Experience Level: 8-12 years (Not super senior)

Technical Requirements:

• Strong understanding of Securities, Capital Markets, Asset Management, or Broker-Dealer data
• Expertise in data platforms (Relational, NoSQL, and Distributed Data Stores)
• Hands-on experience with cloud-based data platforms (AWS, Azure, GCP)
• Proficiency in Big Data technology, ETL/ELT pipelines, and modern data workflows
• Skilled in Data Modeling, Data Integration, and Data Visualization tools
• Strong understanding of Data Governance & Data Quality best practice

Experience:

• Financial Services domain: 8 years (Required)
• Data Models, Data Structures (Architect Level): 10 years (Required)
• data platforms (NoSQL, and Distributed Data Stores): 8 years (Required)
• Data Governance & Data Quality: 8 years (Required

KEY RESPONSIBILITIES:

• Design and develop the data and enterprise architecture for the corporate MDM data platform
• Manage the corporate data architecture reference model for the finance industry taxonomy (FIBO)
• Develop conceptual data models that ensure scalability and alignment with business requirements
• Define corporate data domains and associated taxonomies
• Serve as an SME on data architecture, product rationalization, and catalog integration
• Collaborate closely with internal technical teams, developers, and engineers to provide feedback and guidance on platform enhancements, bug fixes, and new feature development
• Balance technical requirements with practical, business-oriented solutions

Technical Requirements:

• Strong understanding of Securities, Capital Markets, Asset Management, or Broker-Dealer data
• Expertise in data platforms (Relational, NoSQL, and Distributed Data Stores)
• Hands-on experience with cloud-based data platforms (AWS, Azure, GCP)
• Proficiency in Big Data technology, ETL/ELT pipelines, and modern data workflows
• Skilled in Data Modeling, Data Integration, and Data Visualization tools
• Strong understanding of Data Governance & Data Quality best practices

Job Type: Contract
Pay: Up to $65.00 per hour
Expected hours: No less than 40 per week

Benefits:

• 401(k)
• Dental insurance
• Health insurance

Schedule:

• Monday to Friday

Application Question(s):

• Need a local candidate, He/She must be in “NY/NJ or Lake Mary, FL (Hybrid – 3 days onsite)”

Experience:

• Financial Services domain: 8 years (Required)
• Data Models, Data Structures (Architect Level): 10 years (Required)
• data platforms (NoSQL, and Distributed Data Stores): 8 years (Required)
• Data Governance & Data Quality: 8 years (Required)

Work Location: In perso