About the role
- Lead the design and evolution of enterprise data architecture with a model-first approach.
- Define scalable, high-performance data structures that support operational and analytical business needs.
- Serve as the primary architect for conceptual, logical, and physical data models across the organization.
- Drive data strategy, governance, and modernization initiatives while reducing technical debt.
- Partner with Engineering, Product, and Business teams to build sustainable and future-ready data platforms.
Job Description
- Design and maintain enterprise-wide conceptual, logical, and physical data models.
- Define data architecture standards, integration patterns, and storage strategies.
- Balance normalized and dimensional data models to optimize operational integrity and analytical performance.
- Develop and maintain metadata repositories, data dictionaries, and lineage documentation.
- Provide technical leadership and architectural guidance to engineering and product teams.
- Lead modernization and refactoring initiatives for legacy data platforms and schemas.
- Drive data quality, consistency, scalability, and governance across the enterprise ecosystem.
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
- Master’s degree in Data Science, Computer Science, or a related discipline preferred.
- Professional certifications in Data Architecture, Cloud Platforms, or Database Technologies are advantageous.
- 4+ years of experience in Data Engineering, Data Architecture, or related disciplines.
- Minimum 5 years of focused experience in enterprise data modeling and architecture.
- Proven experience designing OLTP and OLAP data models for large-scale enterprise environments.
- Experience architecting cloud-native data platforms using Snowflake, BigQuery, Redshift, or similar technologies.
- Hands-on experience leading data modernization and schema optimization initiatives.
- Experience collaborating with business, product, and engineering stakeholders to define data solutions.
- Expertise in Conceptual, Logical, and Physical Data Modeling methodologies.
- Strong proficiency in Relational (OLTP) and Dimensional (OLAP) modeling techniques.
- Deep understanding of 3NF, Star Schema, Snowflake Schema, and Slowly Changing Dimensions (SCD).
- Knowledge of advanced modeling approaches such as Data Vault 2.0 and Wide-Column architectures.
- Expert-level experience with data modeling tools such as ER/Studio, Erwin, Lucidchart, or dbdocs.
- Advanced SQL expertise including query optimization, stored procedures, triggers, and performance tuning.
- Strong knowledge of ETL/ELT architectures, data integration patterns, and data lifecycle management.
- Experience with indexing strategies, partitioning, execution plan analysis, and database optimization.
- Strong metadata management, data lineage, and data governance capabilities.
- Ability to translate complex business requirements into scalable Entity Relationship Diagrams (ERDs).
- Excellent analytical, problem-solving, stakeholder management, and technical leadership skills.
Perks & Benefits
Medical Insurance
Choose from Health Savings Plan, HRA, or PPO, whichever best fits your healthcare needs and budget.
Parental leave
Take the time you need to welcome and care for your growing family, with leave designed to support you through this milestone.
Training and development
Access structured, project-specific training and continuous learning opportunities that help you grow in your role and career.
Two-way transport
Enjoy stress-free commuting with two-way cab pick-up and drop-off facilities for every shift.
