Data Architect
United IT Solutions
Position: Data Architect Location: New York/New Jersey / Minnesota Job Description Job Title: 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.
Key Responsibilities 1. Data Strategy & Governance
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.
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 .
- Design and own end-to-end data architecture (batch, real-time, streaming).
- Develop scalable solutions across:
- Data Warehousing / Data Lakes / Lakehouses
- 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 .
- 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 .
- 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.
- Collaborate with:
- Business leaders
- Engineering teams
- Product managers
- Translate business requirements into technical solutions.
- Mentor and guide data engineers, analysts, and other architects.
Vacancy posted 14 hours ago
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