Data Architecture & Modeling Specialist
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Key skills for this role
About the Role
Datamatics Technologies is seeking a Data Architecture & Modeling Specialist with 6-12+ years of experience to design and govern enterprise data architecture solutions. The role involves developing data models, defining architecture standards, and collaborating with data engineers and business stakeholders.
Key Skills for This Role
Responsibilities
- Design and implement enterprise data architecture strategies aligned with business and technology objectives
- Develop conceptual, logical, and physical data models for enterprise applications and analytical platforms
- Create and maintain data models using industry standard modeling tools
- Apply data modeling methodologies including dimensional modeling and Data Vault architecture
- Design scalable data warehouse and data lake architectures
- Define data architecture standards, principles, and best practices
- Collaborate with Data Engineers, BI teams, Data Scientists, and business stakeholders to deliver data solutions
- Develop and maintain metadata, data lineage, and data governance frameworks
- Support data platform modernization initiatives and cloud data transformation programs
- Evaluate and recommend data technologies, tools, and architectural approaches
- Ensure data quality, consistency, security, and compliance across enterprise data assets
Requirements
- 6–12+ years of professional experience in Data Architecture, Data Modeling, Data Warehousing, or Enterprise Data Management
- Hands on experience with ERwin or ER/Studio for enterprise data modeling
- Strong experience with Data Vault or Kimball dimensional modeling methodologies
- Experience designing data architectures on BigQuery or Snowflake
- Experience with Teradata and enterprise scale data warehouse environments
- Hands on experience with Collibra or Alation for data governance, cataloging, and metadata management
- Experience with CDC tools and real time data integration patterns
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or related field
Full Job Posting
Job Overview
- Seeking an experienced Data Architecture & Modeling Specialist with 6–12+ years of experience.
- Design, develop, and govern enterprise data architecture solutions.
Key Responsibilities
- Design and implement enterprise data architecture strategies aligned with business and technology objectives.
- Develop conceptual, logical, and physical data models for enterprise applications and analytical platforms.
- Create and maintain data models using industry standard modeling tools.
- Apply data modeling methodologies including dimensional modeling and Data Vault architecture.
- Design scalable data warehouse and data lake architectures.
- Define data architecture standards, principles, and best practices.
- Collaborate with Data Engineers, BI teams, Data Scientists, and business stakeholders to deliver data solutions.
- Develop and maintain metadata, data lineage, and data governance frameworks.
- Support data platform modernization initiatives and cloud data transformation programs.
- Evaluate and recommend data technologies, tools, and architectural approaches.
- Ensure data quality, consistency, security, and compliance across enterprise data assets.
Required Technical Skills
- Hands on experience with ERwin or ER/Studio for enterprise data modeling.
- Strong understanding of conceptual, logical, and physical data modeling principles.
- Strong experience with Data Vault or Kimball dimensional modeling methodologies.
- Experience designing data architectures on BigQuery or Snowflake.
- Experience with Teradata and enterprise scale data warehouse environments.
- Hands on experience with Collibra or Alation for data governance, cataloging, metadata management, and data stewardship.
- Experience with CDC tools and real time data integration patterns.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.
- 6–12+ years of professional experience in Data Architecture, Data Modeling, Data Warehousing, or Enterprise Data Management.
- Strong understanding of enterprise architecture principles and data strategy.
- Excellent analytical, problem solving, and communication skills.
- Experience working with cross functional teams in Agile environments.
Preferred Skills
- Experience designing cloud native data architectures.
- Knowledge of modern data lakehouse architectures.
- Familiarity with data governance frameworks and regulatory requirements.
- Experience with SQL, ETL/ELT concepts, and data integration frameworks.
- Experience supporting enterprise digital transformation initiatives.
- Relevant certifications in Data Architecture, Cloud, or Data Governance are a plus.
Key Technology Stack
- Data Modeling Tools: ERwin or ER/Studio
- Modeling Methodologies: Data Vault or Kimball
- Cloud Data Platforms: BigQuery or Snowflake
- Enterprise Data Warehouse: Teradata
- Data Governance: Collibra or Alation
- Data Integration: CDC Tools
- Architecture Practices: Enterprise Data Architecture and Data Governance and Metadata Management and Data Lineage
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