Enterprise Data Archtect

MJDP Resources; Harrisburg (Dauphin County); On-site; USD 140,000 - 190,000; Full time

Job summary

MJDP Resources is seeking an experienced Enterprise Data Architect to lead the design of scalable information architectures and data products across the organization. You will define conceptual data models, establish enterprise standards and partner with modernization teams to embed reusable data assets into solutions.

The role requires a deep background in data architecture, extensive hands-on design experience, and the ability to drive governance, security and regulatory compliance across

Qualifications

• Bachelor-level degree in a relevant field or equivalent combination of education and experience.
• Minimum 10 years of experience in data architecture, information architecture or enterprise architecture.
• 8+ years hands-on data architecture, engineering or advanced database design experience.
• 5+ years with data platforms such as Snowflake, Databricks, MongoDB on cloud ecosystems (AWS, Azure, GCP).
• Experience with data security, privacy and regulatory requirements for sensitive data.
• Experience in large-scale modernization or digital transformation initiatives across multiple domains.

Responsibilities

• 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 with data classification, privacy, security and regulatory requirements.
• Partner with workflow modernization teams to embed reusable data products into solution designs.
• Analyze legacy systems and identify information assets for enterprise reuse.
• Prevent duplication of data structures across applications and agencies.
• 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, best practices and guidelines including data catalog, lineage, observability, security and interoperability.
• Define business definitions and data quality expectations.
• 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.
• 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.

Skills

Strong communication skills

Lead teams without authority

Education

Bachelor's degree in Computer Science / Information Systems / Systems Programming

Job description

Key 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.

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