job summary: About the role: Collaborate with business leaders to define requirements and priorities and to proactively understand and update metric logic and definition Develop technical requirements (e.g., aggregation level, granularity) based on metrics established by business teams Design logical data model and orchestration requirements Own and manage logical data model for the Enterprise Analytics team in tandem with ingestion and curation leads Oversee data catalog entries and enforce data cataloging rules Manage access controls for end data products Manage change requests to the structure, definitions and/or security of identified data objects Communicate with the Business Data System Owner and Business Data Steward on metric updates Act as escalation point for Data Quality Analysts when defined processes are insufficient to resolve issues About you: Hold a Bachelor's degree in computer science, engineering, statistics, economics, or MBA Bring 3+ years of experience in data engineering or data analysis Have hands-on experience with and understanding of the following: SQL Python or other programming language Databricks or other cloud data management platform Technical and business data cataloging Logical data modeling, including experience designing logical data models ETL/ELT tools such as Apache Airflow Data dictionary development Bring proven experience in data management, requirements management, and metadata management Skills Databricks-SparkSQL-Scala/Python/Java location: Plano, Texas job type: Contract salary: $43 - 45 per hour work hours: 8am to 4pm education: Bachelors responsibilities: Job Description Role Overview: This role will be responsible for translating business needs into technical requirements, managing logical data models, and working closely with ingestion and curation teams. This role requires a deep understanding of: Logical data modeling Complex metadata management Developing, managing, and aligning technical data requirements Data curation Data governance About the role: Collaborate with business leaders to define requirements and priorities and to proactively understand and update metric logic and definition Develop technical requirements (e.g., aggregation level, granularity) based on metrics established by business teams Design logical data model and orchestration requirements Own and manage logical data model for the Enterprise Analytics team in tandem with ingestion and curation leads Oversee data catalog entries and enforce data cataloging rules Manage access controls for end data products Manage change requests to the structure, definitions and/or security of identified data objects Communicate with the Business Data System Owner and Business Data Steward on metric updates Act as escalation point for Data Quality Analysts when defined processes are insufficient to resolve issues About you: Hold a Bachelor's degree in computer science, engineering, statistics, economics, or MBA Bring 3+ years of experience in data engineering or data analysis Have hands-on experience with and understanding of the following: SQL Python or other programming language Databricks or other cloud data management platform Technical and business data cataloging Logical data modeling, including experience designing logical data models ETL/ELT tools such as Apache Airflow Data dictionary development Bring proven experience in data management, requirements management, and metadata management Skills Databricks-SparkSQL-Scala/Python/Java qualifications: Experience level: ExperiencedEducation: Bachelors skills: Data Warehouse Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility). This posting is open for thirty (30) days.