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Lead Data Architect
3 weeks ago
Are you a skilled data modeling expert looking to take on a challenging role in the development and maintenance of an organization's data architecture?
As a Lead Data Modeler, you will play a key part in building and optimizing domain data models, schemas, and supporting the delivery of high-quality, reliable, scalable data solutions.
This is an exciting opportunity to contribute to a dynamic and innovative environment where your work will directly impact the organization's ability to harness data for analytics, reporting, and decision-making.
- Design and maintain conceptual, logical, and physical data models across key data domains
- Collaborate with business analysts and SMEs to understand business requirements and deliver data solutions aligning with organizational goals
- Perform data profiling, data analysis, define and implement target state data model for OLTP and OLAP applications for global retail business
- Design and implement Data Vault 2.0 and dimensional data models on Snowflake data platform
- Define source-to-target ETL mapping, data dictionary, data classification, taxonomy, data lineage, and data catalogue
- Optimize and maintain cloud-based data stores and databases e.g. Snowflake, SQL Server, Oracle, and Azure Synapse for performance and cost-efficiency
- Support the implementation of data quality, data security, data privacy, and governance practices, standards, and controls working closely with data architects, business SMEs, and Data Governance Lead
- Help assess and improve the quality, traceability, and integrity of data across systems
- Stay updated on emerging technologies and best practices, recommending improvements to existing processes and tools
- 6-8 years of experience in data modelling, metadata management, and database management systems
- Strong experience in Entity-Relationship, Dimensional (Star/Snowflake) and Data Vault 2.0 data modelling
- Strong experience in SQL, stored procedures, functions, data partitioning, indexing, and clustering
- Strong experience in designing and building Data Lake, Data Lakehouse, Data Warehouse, and Data Marts
- Strong understanding on data integration and data migration approaches
- Strong understanding of data quality, data governance, data lineage, and metadata management
- Good understanding of data mesh or data product-oriented framework
- Ability to operate in fast-paced, collaborative environments
- A highly engaging team environment where you can build strong relationships and collaborate effectively
- The opportunity to take ownership of your own development and proactively seek out feedback to build self-awareness
- Recognition for sharing best practices across the team/business and encouraging ideas sharing as well as collaborative problem-solving
- Leadership skills to motivate and inspire others
- Excellent communication and collaboration skills, with the ability to work effectively within a team
We live and breathe Rebellious Self Expression at Dr. Martens, and there are three core values at the heart of it: BE YOURSELF. ACT COURAGEOUSLY. SHOW YOU CARE.