The Senior Data Modeler is responsible for designing and managing data models, ensuring data accuracy, compliance, and alignment with business needs.
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is one who empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.SUMMARYThe Sr Data Modeler is pivotal in ensuring the consistency, accuracy, and reliability of data systems. This role is responsible for designing, implementing, and managing data models for the organization. The Sr Data Modeler will partner with business analysts, engineers, architects, and data governance to ensure our data models meet the needs of our business and align with governance requirements.RESPONSIBILITIES- Develop, maintain, and optimize conceptual, logical, and physical data models in support of initiatives and new data offerings.
- Create and document logical and physical data models including data dictionaries, metadata, and entity-relationship diagrams. Modeling scope includes OLTP and OLAP
- Drive internal customer needs into meaningful effective data models in collaboration with Data Architects, Developers, and Analysts.
- Enforce data modeling standards, guidelines, and best practices. Partner with Data Governance when new standards and guidelines are to be developed.
- Ensure data security and compliance with relevant regulations and standards.
- Prepare documentation for data models and definitions.
- Communicate complex data and data modeling concepts to non-technical stakeholders effectively.
- Support the design and implementation of database schemas/structures, and database performance tuning/optimization.
- Perform additional duties as assigned.
- Bachelor’s degree in MIS, Business or equivalent work or educational experience required. Advanced degree preferred.
- Minimum of 5 years of experience with physical/logical data modeling and database design for both relational and non-relational databases required.
- Experience modeling for transaction processing and analytics preferred.
- Experience in the banking or financial services industry preferred.
- Experience with cloud data platforms such as Azure, AWS, or GCP preferred.
- Experience with Agile or other project management methodologies preferred.
- Expert knowledge of data modeling and metadata management tools such as Erwin or ER/Studio preferred.
- Knowledge of the Banking Industry Architecture Network (BIAN) information architecture preferred.
- Strong analytical and problem-solving skills with the ability to analyze complex business requirements and translate them into effective data models required.
- Excellent organizational skills with the ability to document and present data models effectively required.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
Similar Jobs
Financial Services
The Senior Data Modeler designs and maintains data models, supports AI-driven practices, and collaborates on data lifecycle processes. Responsibilities include translating business needs into data structures, ensuring data governance, and supporting analytics and AI use cases.
Top Skills:
DatabricksDbtEr/StudioErwinSQLSqldbm
Artificial Intelligence • Healthtech • Mobile • Software • Telehealth • Generative AI
The Bilingual Nurse Navigator will provide virtual care, document in EMR, follow triage protocols, and ensure patient satisfaction through effective communication and problem-solving skills.
Top Skills:
EmrTelehealth
Machine Learning • Payments • Security • Software • Financial Services
The Software Engineer Sr leads UI design and development, optimizing scalable applications, mentoring staff, and ensuring compliance with standards while collaborating with teams.
Top Skills:
AngularAWSAzureCi/CdCSS3CypressGitHTML5JasmineJavaScriptJestJSONPlaywrightReactRest ApisScssTypescriptVue
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
