What are the responsibilities and job description for the Enterprise Data Architect position at InSource, Inc?
Enterprise Data Architect
Reading, PA | Hybrid (2 days onsite every week) | Contract-to-Hire Only
Local candidates within a comfortable driving distance only.
One onsite interview is required after a virtual session.
Please send resume to: aghosh@copiastaffing.com
Position Summary
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, master data management (MDM), AI-readiness initiatives, modern data architectures, and future-state enterprise data strategy.
The ideal candidate will have experience designing architecture for data products, domain-oriented data ownership models, microservices ecosystems, and modern cloud-based analytical platforms.
Responsibilities
- Define enterprise data architecture standards, roadmaps, and best practices
- Lead architecture decisions across OLTP, ODS, Data Warehouse, Data Lake, and Lakehouse environments
- Develop enterprise data strategies aligned with business objectives and digital transformation initiatives
- Drive MDM, data governance, metadata management, and data quality programs
- Design scalable architectures supporting data products, domain-driven data ownership, and federated governance models
- Architect data solutions for microservices-based and event-driven environments
- Establish AI-ready data foundations and analytical architectures
- Evaluate modern data platforms, integration patterns, streaming technologies, and cloud solutions
- Partner with business and technology teams to define future-state architecture roadmaps
- Mentor architects and engineering teams on architecture standards and governance
Qualifications
- 12 years of Data Architecture experience
- Strong background in Enterprise Data Architecture and Data Strategy
- Experience with Data Governance, MDM, Metadata Management, and Enterprise Data Modeling
- Experience designing architectures across OLTP, ODS, Data Warehouse, Data Lake, and Lakehouse environments
- Understanding of Data Products, Domain-Driven Design (DDD), Data Mesh, or federated data operating models
- Experience supporting microservices, API-first, event-driven, and distributed application architectures
- Expertise in analytical platforms including Snowflake, Data Warehouse, and Lakehouse architectures
- 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, Databricks, and AI/ML data foundations is a plus
Ideal Candidate
A true Enterprise Data Architect who can balance governance and standards with modern architectural approaches such as data products, domain ownership, microservices, and distributed systems. This individual should be equally comfortable engaging executive leadership, defining enterprise strategy, and guiding technical teams through large-scale transformation initiatives.