Enterprise Data Architect

Job Description

Job Description

Enterprise Data Architect
*This is a hybrid role with 1 day/week onsite.
*We are not considering Corp-to-Corp (C2C) arrangements for this position.

Description:

• The Enterprise Data Architect is responsible for defining and evolving the client’s eenterprise information architecture and reusable data products to support transformation and AI priorities.
• This role partners with business leaders, product and engineering teams, and enterprise technology org to identify which information assets should be shared across agencies and which should remain domain specific.
• The position will define data domains create data models ensure data quality map source to domain and assist in creating contracts to support modernization initiatives and future AI capabilities.
• The role serves as the bridge between business processes and technical implementation ensuring that new solutions contribute to a sustainable enterprise data foundation rather than creating additional silos.
• The ideal candidate possesses a comprehensive understanding of data architecture principles practical data modeling experience and deep expertise in data-centric architecture.
  
   

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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 GCP. 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
• Candidates may have previously served as Principal Architect Enterprise Information
• Architect Solution Architect for large enterprises or modernization initiatives

Required Skills/Knowledge/Experience:

• Experience in data architecture, information architecture or enterprise architecture., Required 10 Years
• Hands-on experience in data architecture, data engineering, or advanced database design, modeling experience in designing or implementing data warehouse, Required 8 Years
• Experience with data platforms such as Snowflake, Databricks, MongoDB and big data on cloud-based ecosystems (AWS, Azure, GCP, Required 5 Years
• Experience working with data security, privacy and regulatory requirements for handling sensitive data, Required
• Experience in designing and implementing data quality initiatives, including platforms and tooling, R equired
• Experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholders, Required

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