Lead enterprise-wide data strategy and architecture across transactional, operational, and analytical platforms. Define architecture standards, roadmaps, and best practices while partnering with business and technology leaders. Requires 12+ years of enterprise data architecture experience and strategic decision-making capabilities.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Enterprise Data Architect
Reading, PA | Hybrid (2 days onsite) | Contract-to-Hire (Direct Hire for the right talent)
Candidates must be local, or willing to relocate to this area
Client is willing to provide visa sponsorship after the contract period for highly qualified candidates who are local to Reading, or willing to relocate before starting the role.
Please send resume to: aghosh@copiastaffing.com
Position Summary
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We're seeking an Enterprise Data Architect to lead enterprise-wide data strategy and architecture across transactional, operational, and analytical platforms. This individual will partner with business and technology leaders to drive data governance, MDM, AI-readiness initiatives, and future-state data architecture.
Responsiblities
- Define enterprise data architecture standards, roadmaps, and best practices
- Lead architecture decisions across OLTP, ODS, Data Warehouse, Data Lake, and Lakehouse environments
- Partner with business stakeholders to align data architecture with business objectives
- Drive MDM, data governance, and data domain strategies
- Establish AI-ready data foundations and analytical architectures
- Evaluate modern data platforms, integration patterns, and cloud technologies
- Mentor architects and engineering teams on architecture standards and governance
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Qualifications
- 12+ years of Data Architecture experience
- Strong background in Enterprise Data Architecture and Data Strategy
- Experience with Data Governance, MDM, and enterprise data modeling
- Expertise in analytical platforms including Snowflake, Data Warehouse, and Lakehouse architectures
- Strong understanding of transactional, operational, and analytical data ecosystems
- Experience working with executive stakeholders and translating business needs into architecture solutions
- AWS experience preferred; Azure or GCP experience also considered
- Exposure to Kafka, Spark, Flink, and AI/ML data foundations is a plus
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Ideal Candidate
A true Enterprise Architect who can think strategically, communicate with executives, and make architecture decisions that support business outcomes, not simply a senior engineer with an architect title.
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