Senior Data Modeler/Data Architect
Senior Data Modeler/Data Architect
Location: Mount Laurel, NJ
Duration: Fulltime / Contract
Experience: 14-15 + Years
Primary Skills: Data Vault, Data modeling with Data analysis and modeling tools (e.g. Power Designer, ERWin, ER/Studio)
Job Description:
We are seeking a skilled Sr. Data Modeler to join our team and contribute to the design and implementation of scalable and efficient data models. The ideal candidate will have experience with Data Vault techniques, proficiency in Cloud Azure, and good to have working knowledge with Databricks.
Responsibilities:
Data Modeling:
- Design and develop data models using Data Vault methodologies to ensure robust, scalable, and flexible data architectures.
- Create and maintain conceptual, logical, and physical data models to support business requirements.
- Collaborate with stakeholders to understand data requirements and translate them into effective data models.
- Implement best practices for data modeling, including normalization, denormalization, and data integration.
Data Vault Implementation:
- Utilize Data Vault techniques to build enterprise data lake and lake house and integrate disparate data sources.
- Design and implement Hubs, Links, and Satellites to ensure comprehensive data capture and historical tracking.
- Optimize data vault models for performance and scalability.
Cloud Azure:
- Design and deploy data models on Azure Data Services, including Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics.
- Ensure data security, compliance, and best practices in Azure environments.
- Collaboration and Communication:
- Work closely with data engineers, data scientists, and business analysts to understand data needs and ensure data model alignment.
- Provide technical guidance and support on data modeling best practices and Data Vault principles.
- Document data models, data flows, and integration processes clearly and comprehensively.
Data Modelling tools Azure:
- Data analysis and modeling tools (e.g. Power Designer, ERWin, ER/Studio)
Requirements:
- Bachelor s degree in Computer Science, Information Systems, or a related field (Master s degree preferred).
- Proven experience in data modeling, with a strong focus on Data Vault techniques.
- Proficiency in Cloud Azure services, including Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics.
- Understand/Knowledge with Databricks and its ecosystem.
- Strong understanding of data warehousing concepts, Data Lake house, ETL processes, and data integration techniques.
- Excellent analytical and problem-solving skills with attention to detail.
- Strong communication and collaboration skills to work effectively with cross-functional teams.
- Relevant certifications in Azure and Databricks are a plus.
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Senior Python Engineer needed to build scalable ML and ETL pipelines, deploy models, and drive data-driven solutions for a fast-moving onsite team in Snoqualmie, WA.
Daemen University is hiring a Director of Institutional Research to lead data collection, analysis, reporting, and dashboarding to support institutional effectiveness, accreditation, and student success.
Fable is hiring a Data Engineer to own and scale the data pipelines and warehouse that power its AI-driven Human Behavior Platform in a San Francisco-based, hybrid engineering team.
Mastercard is hiring a Senior Data Engineer to build scalable ETL pipelines, feature engineering workflows, and production-ready data assets supporting AI/ML-driven fraud detection.
Pylon seeks an Analytics Engineer to own the data warehouse, build reliable pipelines and models, and deliver dashboards and metrics that drive product and GTM decisions.
Shutterstock seeks a Data Engineer, Analytics to build and maintain scalable analytics infrastructure and measurement pipelines that power cross-channel marketing attribution and reporting.
Huron is hiring an Insights Management Director to lead analytics and insights efforts that drive clinical performance improvement across health systems and hospitals.
Lead the design and operation of scalable data pipelines and miners to surface safety signals and support AV event triage, analysis, and regulatory reporting for an autonomy-focused engineering team.
Netflix is hiring an Analytics Engineer to build and own scalable pipelines, analyses, and visual dashboards that power consumer insights for global research teams.
A rapidly growing cloud-native company is hiring an Enterprise Solution Architect to design and lead master data management and governance architecture across large-scale enterprise ecosystems.
An experienced Business Intelligence Developer is needed to deliver high-performance Tableau and ThoughtSpot analytics and build robust data models using SQL, Snowflake, and dbt in a remote US role.
Develop and operate scalable data pipelines and Elasticsearch solutions to support dark web and OSINT intelligence for national security and enterprise missions.
Experienced Power BI developer needed to architect enterprise dashboards, data models, and BI governance for Bridge33 Capital, supporting strategic decisions in a remote PST-based role.
Pacific Health Group needs a meticulous Data Administrator to oversee member data integrity, health-plan submissions, and operational reporting in support of compliance and strategic decision-making.
🔮
Hi, I'm Risa! Your AI Career Copilot
you, just ask me below!
