
Enterprise Data Modeler
2 weeks ago
We are seeking a seasoned Data Modeler to lead our data modeling efforts and contribute to the design of logical and physical data models for large-scale enterprise solutions.
Key Responsibilities:- Develop and maintain accurate and efficient data models that support business requirements.
- Collaborate with cross-functional teams to define and implement data management strategies.
- Conduct data model reviews and ensure consistency across the organization.
- Capture metadata through data modeling tools and ensure data quality.
- Stay up-to-date with industry trends and best practices in data modeling.
To be successful in this role, you will need:
- Strong understanding of data analysis and profiling techniques.
- Experience with data modeling tools such as ERWIN or other industry-standard tools.
- Knowledge of normalized and dimensional model disciplines and techniques.
- Minimum 3 years experience in Oracle Database or similar platforms.
- 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 Software Engineering, Computer Science, or Information Systems (or equivalent experience).
- Excellent communication skills and 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.
- Effective oral and written communication skills.
- Ability to learn and maintain knowledge of multiple application areas.
- Understanding of industry best practices pertaining to Quality Assurance concepts and procedures.
The ideal candidate will have:
- 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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