Enterprise Data Architect

Astyra Corporation; False Pass (AK); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Astyra Corporation is seeking an Enterprise Data Architect to lead the design and evolution of our enterprise information architecture. This role partners with business leaders, product and engineering to identify data assets that can be shared across agencies while remaining domain-specific where needed.

The candidate will define data domains, create models, ensure data quality, and support modernization initiatives with a strong focus on AI-enabled data products and governance across on-prem

Qualifications

• Minimum 10 years in data or enterprise architecture.

Responsibilities

• Define and evolve enterprise information architecture and reusable data products.
• Partner with business leaders, product and engineering to identify shareable data assets.
• Create data models, data domains, and source-to-domain mappings.
• Embed data governance, privacy, security, and regulatory requirements by design.
• Promote AI-ready data products and semantic capabilities.

Skills

Enterprise data architecture

Stakeholder collaboration

Data modeling

Cloud platforms

Data governance

Education

Bachelor’s degree in CS/IS or related field

10+ years data architecture/enterprise architecture

5+ years Snowflake/Databricks/MongoDB on cloud

Tools

Snowflake

Databricks

MongoDB

AWS/Azure/GCP

Job description

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 arc