Enterprise Data Architect

American business solutions inc; Harrisburg (Dauphin County); On-site; USD 150,000 - 190,000; Full time

Job summary

American business solutions inc is seeking an experienced Enterprise Data Architect to lead the design of enterprise information architecture and reusable data products. You will define data models, standards, and governance while partnering with product, engineering, and cloud teams to drive modernization across multiple domains.

The role requires 10+ years in data/enterprise architecture, strong communication, and experience with Snowflake, Databricks, and MongoDB in cloud environments.

Qualifications

• Bachelor-level degree or equivalent in CS/IS/Systems Programming or related field.
• Minimum 10 years of experience in data architecture, information architecture or enterprise architecture.
• 8+ years in data architecture/engineering or advanced DB design; modeling data warehouses/data marts; MDM concepts and tools.
• 5+ years with data platforms such as Snowflake, Databricks, MongoDB on AWS/Azure/GCP; unstructured data experience a plus.
• Experience with data security, privacy and regulatory requirements for sensitive data.
• Experience delivering large-scale modernization/digital transformation across domains; strong cross-stakeholder communication.

Responsibilities

• Define conceptual and logical data models for common business entities.
• Establish canonical models and enterprise information standards.
• Design enterprise information architecture with data classification, privacy, security, and regulatory requirements by design.
• Partner with workflow modernization teams to embed reusable data products into solution designs.
• Analyze legacy systems and identify information assets suitable for enterprise reuse.
• Support data migration strategies and target-state architecture.
• Identify and support design of reusable data products; define schemas, interfaces, metadata and quality requirements.
• Establish product boundaries, stewardship and ownership models.
• Establish data architecture principles, data standards, data catalog, lineage, observability and interoperability.
• Work with engineering/platform teams to translate business concepts into technical designs; collaborate with cloud, integration and data teams.

Skills

Data architecture

Enterprise architecture

Information architecture

Data engineering

Data modeling

Data warehousing

Cloud platforms

Snowflake

Databricks

MongoDB

AWS

Azure

GCP

Data security

Education

Bachelor of Computer Science / Information Systems / Systems Programming

Tools

Snowflake

Databricks

MongoDB

AWS

Azure

GCP

Job description

Engagement Type

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, 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

Success Measures

During the first year, this role will

• Establish enterprise information architecture principles.
• Define reusable enterprise data products for priority domains.
• Support specific modernization initiatives as a model implementation.
• Introduce metadata and ownership standards.
• Enable future modernization efforts to reuse common data assets rather than recreating them.
• Lay the foundation for enterprise analytics and AI capabilities across the Commonwealth.

Required/Desired Skills

Skill Required/Desired Amount of Experience

• experience in data architecture, information architecture or enterprise architecture. Required 10.0 Years
• hands-on experience in data architecture, data engineering, or advanced database design, modeling experience in designing or implementing data warehou Required 8.0 Years
• experience with data platforms such as Snowflake, Databricks, MongoDB and big data on cloud-based ecosystems (AWS, Azure, GCP Required 5.0 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 Required
• experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholders Required

Skills :

experience in data architecture,information architecture or enterprise architecture.,hands-on experience in data architecture,data engineering,or advanced database design,modeling experience in designing or implementing data warehou,experience with data platforms such as Snowflake,Databricks,MongoDB and big data on cloud-based ecosystems (AWS,Azure,GCP,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,experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholders