Description
You will design and govern enterprise-scale data architectures and modeling standards.
Responsibilities
- Create conceptual, logical, and physical data models to translate business requirements into technical designs.
- Develop canonical models, Data as a Service models, and MDM solutions including source system integration.
- Enforce data governance, naming standards, and metadata accuracy across all deliverables.
- Perform data profiling and analysis to maintain model integrity and resolve integration challenges.
- Establish procedures for tracking data quality, completeness, and redundancy.
- Design strategies for data security, backup, disaster recovery, and regulatory compliance.
Required Skills
- 15+ years of experience in data modeling and architecture.
- Expertise in SQL, Python, R, or Scala for data querying and analysis.
- Hands-on experience with SQL Server, Snowflake, or Databricks.
- Proven ability to build and support MDM toolkits and implement reconciliation rules.
- Strong understanding of SOA to support system integrations.
- Experience with data capacity planning, lifecycle management, and feasibility studies.
- Knowledge of data privacy laws and regulatory compliance practices.
- Ability to communicate complex modeling results to stakeholders and development teams.