Enterprise Data Architect

Astyra Corporation; False Pass (AK); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Astyra Corporation is seeking an Enterprise Data Architect to define and evolve the organization's information architecture and reusable data products. You will partner with business leaders, product, and engineering to determine which data assets are shared across agencies and which stay domain-specific.

The role requires strong data modeling, governance, and experience with cloud platforms. You will bridge business processes and technical implementation, ensuring scalable, future-proof data

Qualifications

• Bachelor level degree in a relevant field or equivalent experience.
• Minimum 10 years of experience in data/enterprise architecture.
• Strong data modeling, security and regulatory knowledge.

Responsibilities

• Define and evolve enterprise information architecture and data products.
• Create canonical data models and establish enterprise standards.
• Collaborate with business, product, and engineering to embed reusable data assets.
• Lead modernization initiatives and support AI-enabled capabilities.
• Translate business concepts into scalable technical designs.

Skills

Data architecture

Information architecture

Enterprise architecture

Data modeling

Data governance

Stakeholder communication

Cloud data platforms

Education

BSc or higher in CS/IS/Systems

Tools

Snowflake

Databricks

MongoDB

AWS/Azure/GCP

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