
Chief Data Architect
1 day ago
We are seeking a skilled Data Modeller to join our team. As a Data Modeller, you will be responsible for designing and developing logical and physical data models to support business requirements.
- You will participate in requirements definition, analysis, and the design of data models for Dimensional Data Model, NoSQL, or Graph Data Model.
- Lead discussions with stakeholders to map business requirements to data modelling solutions.
- Conduct data model reviews with project team members.
- Capture technical metadata through data modelling tools.
- Ensure database designs efficiently support Business Intelligence and end-user requirements.
- Drive continual improvement and enhancement of existing systems.
- Collaborate with ETL/Data Engineering teams to create data pipelines for data ingestion and transformation.
- Collaborate with Data Architects for data model management, documentation, and version control.
The ideal candidate will possess strong data analysis and data profiling skills, as well as experience with data modelling tools such as ERWIN or other industry-standard tools.
- Strong conceptual, logical, and physical data modelling skills for VLDB Data Warehouse and Graph DB.
- Fluent in both normalized and dimensional model disciplines and techniques.
- Minimum of 3 years experience in Oracle Database.
- Hands-on experience with Oracle SQL, PL/SQL, or Cypher.
- Exposure to Databricks Spark, Delta Technologies, Informatica ETL, or other industry-leading tools.
- Good knowledge or experience with AWS Redshift and Graph DB design and management.
- Working knowledge of AWS Cloud technologies, mainly on the services of VPC, EC2, S3, DMS, and Glue.
- Bachelors degree in Computer Science, Software Engineering, or Information Systems (or equivalent experience).
- Excellent verbal and written communication skills, including the ability to describe complex technical concepts in relatable terms.
- Ability to manage and prioritize multiple workstreams with confidence in making decisions about prioritization.
- Data-driven mentality. Self-motivated, responsible, conscientious, and detail-oriented.
The ideal candidate will have a Bachelors degree in Computer Science, Engineering, or relevant fields with 3+ years of experience as a Data and Solution Architect supporting Enterprise Data and Integration Applications or a similar role for large-scale enterprise solutions.
- 3+ years of experience in Big Data Infrastructure and tuning experience in Lakehouse Data Ecosystem, including Data Lake, Data Warehouses, and Graph DB.
- AWS Solutions Architect Professional Level certifications.
- Extensive experience in data analysis on critical enterprise systems like SAP, E1, Mainframe ERP, SFDC, Adobe Platform, and eCommerce systems.
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