Data Architect

• Design and develop enterprise-scale data architecture solutions supporting business, analytics, governance, and regulatory requirements.
• Define and maintain conceptual, logical, and physical data models across enterprise domains.
• Develop architecture blueprints, integration patterns, and scalable data frameworks.
• Establish standards and best practices for enterprise data management, metadata governance, and taxonomy management.
• Create domain interaction models and enterprise data flow architectures.
• Build and maintain enterprise data taxonomy frameworks and business glossary structures.

Data Governance & Lineage:

• Implement and manage enterprise metadata and data lineage solutions using tools such as Collibra and Manta.

• Build and maintain end-to-end data lineage across source systems, ETL pipelines, APIs, and downstream consumers.

• Support data governance initiatives including:

• Data taxonomy

• Data classification

• Metadata management

• Data ownership and stewardship

• Policy alignment and traceability

• Collaborate with governance teams to improve metadata quality, consistency, and lineage visibility.

Data Modeling & Integration:

• Develop enterprise data models using Erwin Data Modeler.
• Perform conceptual, logical, and physical data modeling for enterprise applications and analytical platforms.
• Work with ETL/ELT tools, APIs, and integration services for enterprise data ingestion and transformation.
• Define integration patterns for batch, real-time, streaming, and API-driven data movement.

Cloud & Platform Architecture:

• Design cloud-based data solutions leveraging platforms such as Amazon Web Services, Microsoft Azure, and Google Cloud.
• Support modernization initiatives involving cloud migration and hybrid data ecosystems.
• Ensure scalable, secure, and governed architecture patterns across platforms.

Architecture Documentation & Analysis:

• Analyze complex enterprise systems and recommend scalable architecture solutions.

• Develop and maintain architecture artifacts including:

• Data flow diagrams

• Architecture blueprints

• System interaction diagrams

• Domain interaction models

• Metadata mapping documents

• Data taxonomy structures

• Perform impact analysis and dependency assessments across enterprise applications and data domains.

Stakeholder Collaboration:

• Work closely with business stakeholders, enterprise architects, governance teams, data engineers, and application teams to translate business requirements into technical solutions.
• Facilitate architecture discussions, workshops, and design reviews.
• Prepare architecture presentations, standards documentation, and technical recommendations for leadership teams.

Do you have experience in Technical writing?, * Hands-on experience with data lineage and metadata management tools such as:

• Collibra

• Manta

• Strong hands-on experience with enterprise data modeling using:

• Erwin Data Modeler

• Strong experience with ETL/ELT tools and enterprise data integration.

• Experience with cloud platforms:

• Amazon Web Services

• Microsoft Azure

• Google Cloud

• Knowledge of APIs, integration frameworks, and distributed data systems.

• Strong understanding of:

• Conceptual data modeling

• Logical data modeling

• Physical data modeling

• Metadata management

• Enterprise data taxonomy

• Business glossary management

Analytical & Architectural Skills:

• Strong analytical and problem-solving skills with the ability to assess complex enterprise environments.
• Ability to design scalable and reusable enterprise-level architectures.
• Ability to create and manage architecture artifacts and governance documentation.
• Ability to build and maintain enterprise data taxonomy frameworks aligned with business domains.
• Understanding of enterprise information architecture principles and domain-driven design concepts.

Pay: $50.00 - $55.00 per hour

Application Question(s):

• Do you have experience with Collibra or Manta