Hybrid: Weekly One day Onsite Required at Harrisburg, PA
Interview type: Screening with hiring manager, virtual interview with 2more people, final in person at Harrisburg.
Candidates may have previously served as Principal Architect, Enterprise Information Architect, Solution Architect for large enterprises or modernization initiatives
Role Summary
The Enterprise Data Architect is responsible for defining and evolving the Client enterprise information architecture and reusable data products to support transformation and AI priorities.
Key Responsibilities
1.Enterprise Information Architecture
Define conceptual and logical data models for common business entities.
•Establish canonical models and enterprise information standards.
•Define relationships between enterprise and domain-specific data assets.
•Design enterprise information architecture that incorporates data classification, privacy, security, and regulatory requirements by design.
2.Modernization Programs
•Partner with workflow modernization teams (product and engineering) to embed reusable data products into solution designs.
•Analyze legacy systems and identify information assets suitable for enterprise reuse.
•Prevent duplication of data structures across applications and agencies.
•Support data migration strategies and target-state architecture.
3.Data Product Architecture
•Identify and support design of reusable data products
•Define schemas, interfaces, metadata and quality requirements
•Establish product boundaries, stewardship and ownership models.
4.Data Governance and Metadata
•Establish data architecture principles, data standards, best practices, and guidelines including data catalog, data lineage, observability, security and interoperability
•Define business definitions and data quality expectations.
5.Platform and Technology Collaboration
•Work with engineering and platform teams to translate business concepts into technical designs.
•Partner with cloud, integration and data teams to implement enterprise data products.
•Promote API-first and product-based approaches to information sharing.
6.AI Enablement
•Ensure enterprise data products are discoverable, governed and suitable for future AI use cases.
•Support semantic layers, knowledge graphs and natural language access to enterprise information.
Desired Background and Experience
•Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of relevant education and experience
•Minimum 10 years of experience in data architecture, information architecture or enterprise architecture.
•8+ years of hands-on experience in data architecture, data engineering, or advanced database design, modeling experience in designing or implementing data warehouse/data marts, MDM concepts and tools
•At least 5+ years of experience with data platforms such as Snowflake, Databricks, MongoDB and big data on cloud-based ecosystems (AWS, Azure, Google Cloud Platform). Experience working with unstructured data is a plus.
•Experience working with data security, privacy and regulatory requirements for handling sensitive data
•Experience in designing and implementing data quality initiatives, including platforms and tooling
•Demonstrable experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholders
•Ability to work across domains and stakeholders with strong communication skills
•Proven ability to develop work plans for self, resolve ambiguity and lead teams without authority
Industry Experience in Public sector, Healthcare or Financial Services is preferable
“Taras Technology, LLC is an EEO/AA Employer: women, minorities, the disabled and veterans are encouraged to apply”
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