# Enterprise Data Architect > FutureSoft Consulting Inc · Harrisburg, United States (Hybrid) · Contract · Posted 2026-08-10 **Workplace:** hybrid ## Description \## About the Role We are seeking an experienced \*\*Enterprise Data Architect\*\* to lead the design and evolution of enterprise information architecture and reusable data products supporting large-scale modernization, analytics, and AI initiatives. The ideal candidate will bring deep expertise in \*\*enterprise data architecture, information modeling, cloud data platforms, data governance, data quality, and modernization\*\*. This individual will work closely with business leaders, product teams, engineers, data teams, and technology stakeholders to establish a sustainable enterprise data foundation while reducing duplication and data silos. This is a senior-level architecture position requiring both strategic leadership and hands-on experience designing complex enterprise data environments. \## Key Responsibilities \### Enterprise Data Architecture \* Define conceptual and logical data models for enterprise business entities. \* Develop canonical data models and enterprise information standards. \* Establish relationships between enterprise-wide and domain-specific data assets. \* Design information architecture incorporating data security, privacy, classification, and regulatory requirements. \* Define enterprise data architecture principles, standards, patterns, and best practices. \### Data Modeling & Modernization \* Support large-scale application and data modernization initiatives. \* Analyze legacy systems and identify data assets suitable for enterprise reuse. \* Develop source-to-target and source-to-domain data mappings. \* Support data migration strategies and target-state architecture. \* Prevent unnecessary duplication of data structures across systems and business domains. \* Design and support data warehouses, data marts, and modern data architectures. \### Data Product Architecture \* Identify opportunities to create reusable enterprise data products. \* Define schemas, interfaces, metadata, data contracts, and quality requirements. \* Establish appropriate boundaries, ownership, and stewardship models for data products. \* Promote API-first and product-oriented approaches to enterprise information sharing. \### Data Governance, Quality & Metadata \* Establish standards for: \* Data governance \* Metadata management \* Data catalogs \* Data lineage \* Data observability \* Data interoperability \* Data security \* Data quality \* Define business data definitions and enterprise data quality expectations. \* Partner with governance and business teams to establish ownership and stewardship standards. \* Support implementation of data quality platforms and tooling. \### Cloud & Data Platform Architecture \* Collaborate with cloud, platform, integration, and engineering teams to translate business requirements into scalable technical solutions. \* Architect solutions using modern data platforms such as \*\*Snowflake, Databricks, and MongoDB\*\*. \* Support enterprise data environments across \*\*AWS, Microsoft Azure, and/or Google Cloud Platform (GCP)\*\*. \* Work with structured, semi-structured, and unstructured enterprise data. \### AI & Advanced Analytics Enablement \* Ensure enterprise data products are discoverable, governed, secure, and suitable for AI and advanced analytics use cases. \* Help establish the data foundation required for enterprise AI initiatives. \* Support development of semantic layers, knowledge graphs, and natural-language access to enterprise information. \* Collaborate with analytics and AI teams to ensure data architecture supports future machine learning and generative AI capabilities. \## Required Qualifications \* Bachelor's degree in \*\*Computer Science, Information Systems, Systems Programming, Engineering\*\*, or a related discipline, or an equivalent combination of education and professional experience. \* 10+ years of experience\*\* in Data Architecture, Information Architecture, or Enterprise Architecture. \* 8+ years of hands-on experience\*\* in data architecture, data engineering, advanced database design, and data modeling. \* Strong experience designing or implementing \*\*data warehouses and data marts\*\*. \* Experience with \*\*Master Data Management (MDM)\*\* concepts, architectures, and tools. \* 5+ years of experience\*\* working with modern data platforms such as: \* Snowflake \* Databricks \* MongoDB \* Strong experience with cloud-based data ecosystems using \*\*AWS, Azure, and/or GCP\*\*. \* Experience designing conceptual, logical, and enterprise data models. \* Experience with enterprise data governance, metadata management, data lineage, and data cataloging. \* Experience developing and implementing enterprise data quality initiatives and associated platforms/tools. \* Strong knowledge of data security, privacy, and regulatory requirements involving sensitive information. \* Demonstrated experience supporting \*\*large-scale modernization or digital transformation initiatives\*\* involving multiple domains and stakeholders. \* Strong understanding of enterprise integration and API-based architectures. \* Excellent communication, documentation, stakeholder management, and presentation skills. \* Ability to operate independently, resolve ambiguity, develop work plans, and influence teams without direct authority. \## Preferred Qualifications \* Previous experience as an: \* Enterprise Data Architect \* Enterprise Information Architect \* Principal Data Architect \* Principal Architect \* Data Solution Architect \* Enterprise Solution Architect \* Experience in \*\*public sector, healthcare, or financial services\*\* environments. \* Experience working with unstructured data. \* Experience implementing reusable enterprise data products. \* Knowledge of data contracts and data-product architectures. \* Experience with semantic models or semantic layers. \* Knowledge of knowledge graphs and enterprise ontology concepts. \* Experience supporting data platforms designed for \*\*AI, machine learning, or generative AI\*\* applications. \## What Success Looks Like The successful Enterprise Data Architect will help: \* Establish enterprise-wide information architecture principles and standards. \* Create reusable data models and enterprise data products. \* Support modernization programs with scalable target-state data architecture. \* Establish metadata, governance, ownership, and data quality standards. \* Reduce duplication and information silos across enterprise applications. \* Improve reuse of common data assets across business domains. \* Build a sustainable foundation for enterprise analytics, automation, and AI. \## Work Arrangement This position follows a \*\*hybrid schedule in Harrisburg, Pennsylvania\*\*, with approximately \*\*one day per week onsite\*\*, typically Tuesday, Wednesday, or Thursday. Candidates should be comfortable participating in a multi-stage interview process that may include virtual interviews and a final in-person interview in Harrisburg. ## Apply [Apply at FutureSoft Consulting Inc](https://apply.workable.com/futuresoft-consulting-inc-2/j/53B3875AB9/apply) --- Powered by [Workable](https://www.workable.com)