SAP Data Architect

Role Overview: You will participate in requirements definition, analysis, and the design of logical and physical data models for Dimensional Data Model, NoSQL, or Graph Data Model. Additionally, you will lead data discovery discussions with Business in JAD sessions, conduct data model reviews, and ensure that database designs efficiently support BI and end user requirements. Collaboration with ETL/Data Engineering teams to create data process pipelines and with Data Architects for data model management, documentation, and version control will also be part of your responsibilities. You will be expected to drive continual improvement and enhancement of existing systems. Key Responsibilities: - Participate in requirements definition, analysis, and design of logical and physical data models. - Lead data discovery discussions with Business and map business requirements to data modeling solutions. - Conduct data model reviews and capture technical metadata. - Ensure database designs support BI and end user requirements efficiently. - Collaborate with ETL/Data Engineering teams to create data process pipelines. - Collaborate with Data Architects for data model management, documentation, and version control. - Drive continual improvement and enhancement of existing systems. - Maintain expertise in various application areas and stay updated on industry trends and standards. Qualifications Required: - Strong data analysis and data profiling skills. - Hands-on experience with conceptual, logical, and physical data modeling. - Experience with modeling tools such as ERWIN or other industry-standard tools. - Knowledge of both normalized and dimensional model disciplines. - Minimum 3 years of 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. - Knowledge or experience with AWS Redshift and Graph DB design and management. - Working knowledge of AWS Cloud technologies, specifically VPC, EC2, S3, DMS, and Glue. - Bachelors degree in Software Engineering, Computer Science, or Information Systems. - Excellent verbal and written communication skills. - Ability to manage and prioritize multiple workstreams and make decisions about prioritization. - Data-driven mentality with a focus on self-motivation, responsibility, conscientiousness, and attention to detail. - Understanding of industry best practices related to Quality Assurance concepts and procedures. Role Overview: You will participate in requirements definition, analysis, and the design of logical and physical data models for Dimensional Data Model, NoSQL, or Graph Data Model. Additionally, you will lead data discovery discussions with Business in JAD sessions, conduct data model reviews, and ensure that database designs efficiently support BI and end user requirements. Collaboration with ETL/Data Engineering teams to create data process pipelines and with Data Architects for data model management, documentation, and version control will also be part of your responsibilities. You will be expected to drive continual improvement and enhancement of existing systems. Key Responsibilities: - Participate in requirements definition, analysis, and design of logical and physical data models. - Lead data discovery discussions with Business and map business requirements to data modeling solutions. - Conduct data model reviews and capture technical metadata. - Ensure database designs support BI and end user requirements efficiently. - Collaborate with ETL/Data Engineering teams to create data process pipelines. - Collaborate with Data Architects for data model management, documentation, and version control. - Drive continual improvement and enhancement of existing systems. - Maintain expertise in various application areas and stay updated on industry trends and standards. Qualifications Required: - Strong data analysis and data profiling skills. - Hands-on experience with conceptual, logical, and physical data modeling. - Experience with modeling tools such as ERWIN or other industry-standard tools. - Knowledge of both normalized and dimensional model disciplines. - Minimum 3 years of 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. - Knowledge or experience with AWS Redshift and Graph DB design and management. - Working knowledge of AWS Cloud technologies, specifically VPC, EC2, S3, DMS, and Glue. - Bachelors degree in Software Engineering, Computer Science, or Information Systems. - Excellent verbal and written communication skills. - Ability to manage and prioritize multiple workstreams and make decisions about prioritization. - Data-driven mentality with a focus on self-motivation, responsibility, conscientiousness, and attention to detail. - Understanding of industry best practices related to Quali