Sr. Data Modeler
Listed on 2026-04-22
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IT/Tech
Data Analyst, Data Engineer
General Summary
Under the supervision of the Manager of Analytics, the Senior Developer works with developers, business analysts, and business partners in a fast-paced delivery environment for data and analytics. The Senior Developer is responsible for designing, building, and optimizing enterprise-grade data pipelines, analytical data models, and machine-learning–ready datasets within our Snowflake ecosystem. This role serves as a bridge between Data Engineering, Analytics, and Data Science, enabling high-quality insight creation and data-driven innovation across the organization.
The Senior Developer has deep experience with modern cloud data platforms, advanced SQL development, data modeling, AI/ML integration, and business intelligence solutions.
- Design, build, and maintain scalable data pipelines, transformations, and models in Snowflake, ensuring performance, reliability, and optimal storage patterns.
- Collaborate closely with Analytics and Data Science teams to enable advanced analytics, experimentation frameworks, and model monitoring.
- Advanced data design, analysis, and profiling.
- Understand, create and implement process design and target data models.
- Partner with business stakeholders, data scientists, and analysts to translate requirements into well-governed datasets and analytical assets.
- Develop, test, debug, and document data structures, data schemas, and data processes.
- Address performance or data quality issues.
- Data mining, auditing, aggregation, validation, and reconciliation.
- Support operational excellence through monitoring, automated testing, CI/CD deployment practices, and Data Ops principles.
- Agile ceremonies:
Code reviews, Sprint Reviews/Commitments, Sprint planning.
- Bachelor’s Degree in Computer Science, MIS, Mathematics or related field.
- 6+ years of professional experience in data engineering in data warehouse, big data, and analytics areas.
- Expertise with ETL, ELT and streaming data pipelines and related tools and technologies.
- 3+ years of hands‑on experience using Snowflake or other relational data stores.
- Advanced experience with semi‑structured document processing such as XML & JSON.
- Advanced experience with programming and scripting using bash, Python, Perl, etc.
- Must be knowledgeable of data warehouse concepts including the use of dimensional modeling and schema designs.
- Advanced experience with performance tuning of SQL queries.
- Thorough understanding of systems analysis and design, SDLC.
- Ability to analyze complex applications and systems with minimal supervision.
- Strong problem‑solving skills.
- Excellent communication skills.
- Experience with CI/CD (Azure Dev Ops preferred), version control, and automated deployment frameworks.
- Prior work in fintech, risk analytics, consumer lending, or highly regulated environments is strongly preferred.
- Ability to effectively communicate with business users to understand business processes.
- Highly Proficient in analyzing business objectives and requirements.
- Skills in design and development of efficient data integration solutions.
- Ability to design and maintain scalable data architectures that support analytics, operational insights, and machine learning.
- Experience with data integration tools such as Informatica, Matillion, Streamsets, or similar tools.
- Highly proficient in SQL.
- Ability to analyze business and system processes to support solution development.
- Understanding and ability to manage through an enterprise‑wide project/solution impacts, issues, and risks.
- Ability to manage across company teams to ensure collaboration in support of high‑quality solutions.
- Familiarity with AI/LLM integration patterns (feature engineering, inference pipelines, embeddings, and ML frameworks).
- Strong verbal and written communication and presentation skills.
- Advanced experience with Visio and related design/flow tools. Fluent with Microsoft Excel, Word, and Outlook. Medium skill level with MS Project.
- Comfortable in a fast‑paced and cutting‑edge development environment.
Elevate is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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