Job Title: Data Architect

[Kevin]

Job Title: Data Architect

Only GC / USC - 16+ yrs exp

Banking / finance exp must

Looking for people around New York/New Jersey or Minnesota area, since it requires travelling

Remote is ok

 

Role Summary

We are seeking a highly skilled and forward-thinking Data Architect who combines strong strategic vision with hands-on technical expertise. This role will be responsible for defining the organization’s data strategy, designing scalable data architectures, and actively contributing to implementation across all data-driven initiatives.

The ideal candidate will bridge business and technology, ensuring data solutions align with organizational goals while being robust, secure, and future-ready.

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Key Responsibilities

1. Data Strategy & Governance

• Define and drive the enterprise data strategy, aligned with business objectives.
• Establish data governance frameworks, policies, standards, and best practices.
• Lead data architecture roadmaps covering data platforms, integration, storage, and analytics.
• Partner with business stakeholders to identify data-driven opportunities and ensure value realization.
• Ensure compliance with data privacy, security, and regulatory requirements.

2. Architecture Design

• Design and own end-to-end data architecture (batch, real-time, streaming).
• Develop scalable solutions across:
• Data Warehousing / Data Lakes / Lakehouse
• Cloud platforms (Azure, AWS, GCP)
• Big Data ecosystems
• Define data models (conceptual, logical, physical) for enterprise systems.
• Establish standards for data integration, APIs, and metadata management.

3. Hands-on Technical Leadership

• Actively participate in solution design and development (not just oversight).
• Build and review:
• Data pipelines (ETL/ELT)
• Data ingestion frameworks
• Data transformation processes
• Optimize performance, scalability, and reliability of data systems.
• Conduct architecture reviews, code reviews, and design validations.

4. Platform & Technology Enablement

• Evaluate and recommend tools, technologies, and platforms.
• Drive adoption of modern practices such as:
• DataOps
• MLOps (where applicable)
• Data Mesh / Data Fabric paradigms
• Enable self-service analytics and business intelligence capabilities.

5. Stakeholder Management

• Collaborate with:
• Business leaders
• Engineering teams
• Product managers
• Translate business requirements into technical solutions.
• Mentor and guide data engineers, analysts, and other architects.

Thanks in Advance: - 

Kevin

Talent Acquisition Specialist

E: ke...@jasviksolutions.com

P: +1703 668 9800

      LinkedIn: www.linkedin.com/in/saiprasad-goud-71806536b

A: 13873 Park Centre Road, Suite #185, Herndon, Virginia 20171

W: www.jasviksolutions.com