This role partners directly with stakeholders across Sales, Marketing, Finance, Production, and other business units to translate business needs into technical solutions. Deliverables may include curated data models, interactive applications built with Streamlit or React, and AI-powered capabilities that make governed enterprise data more accessible and actionable.
What are the primary responsibilities?
Build and maintain ingestion pipelines in Fivetran to land source system data into Snowflake reliably and on schedule
Develop custom Python and API based integrations for source systems not covered by managed connectors
Develop and maintain transformation models in Coalesce Transform, applying dimensional and layered modeling patterns that support reporting and analytics at scale
Document data assets, definitions, and lineage in Coalesce Catalog so business users can find and trust the data they use
Design and tune Snowflake objects, including warehouses, roles, and storage patterns, for performance and cost efficiency
Partner with business stakeholders across Sales, Marketing, Finance, Production, and other business units to gather reporting requirements and translate them into scalable data models and metric definitions
Build data applications in Streamlit and React that put analytics and workflow tools directly in the hands of business users
Apply AI and large language model capabilities to accelerate development, improve data quality checks, and enable natural language access to governed data
Establish and enforce data quality testing, monitoring, and alerting across pipelines and models
Partner with analysts and BI developers to ensure downstream dashboards are built on certified, well modeled data
Contribute to data governance, security, and access control practices in coordination with the broader Technology Organization
Troubleshoot pipeline and data issues, identify root causes, and implement durable fixes
All other duties as assigned
Qualifications
Does this describe you?
Systematic thinker who maps dependencies, data flows, and failure modes before writing code
Able to seamlessly shift between solving technical data challenges and partnering with business stakeholders.
Able to translate business needs into clear data requirements and constructively challenge ambiguous or incomplete requests
Curious about emerging technologies and eager to explore how AI can meaningfully improve data engineering and analytics.
Communicates proactively about scope, priorities, tradeoffs, and blockers
Demonstrates exceptional attention to detail and commitment to data accuracy
Balances thoughtful design with pragmatic execution, delivering value iteratively rather than waiting for a perfect solution
Shares knowledge openly and contributes to a collaborative, high-performing team
Adapts well to shifting priorities and maintains momentum across concurrent projects
Do you have these qualifications?
Essential
Bachelor's degree in Computer Science, Information Systems, Analytics, or a related field, or equivalent practical experience
3-5 years of experience in data engineering, analytics engineering, or a comparable data role
Strong SQL skills
Hands-on experience with Snowflake or a comparable cloud data warehouse
Experience building and maintaining ELT pipelines with a managed ingestion tool such as Fivetran
Experience with a modern transformation framework such as Coalesce Transform or dbt
Demonstrated experience gathering reporting requirements directly from business stakeholders and delivering data solutions that meet the business needs
Working knowledge of Python for data transformation, automation, and scripting
Experience working with REST APIs to source and deliver data
Experience with version control and code review practices in a team setting
Work in office 3-days per week. Additional in office days may vary per Division/Department.
Preferred
Experience with Coalesce Transform and Coalesce Catalog specifically
Experience building data applications in Streamlit
Front-end development experience with React
Demonstrated ability applying AI or large language model tooling to data engineering, data quality, or analytics use cases
Experience with data governance, cataloging, and lineage practices in an enterprise environment
Familiarity with homebuilding, real estate and construction
Exposure to BI platforms such as Power BI or Tableau
We offer an excellent compensation and benefits package that includes comprehensive medical/dental, 401(k) with a company match, discounted stock purchase, discounts on mortgages, homes, and much more!
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Toll Brothers is committed to ensuring equal employment opportunity. All employment decisions, policies, and practices are in accordance with applicable federal, state, and local anti-discrimination laws. Toll Brothers will not engage in or tolerate unlawful discrimination (including any form of unlawful harassment) on account of a person's sex (including pregnancy), age, race, color, religion, national origin, ancestry, citizenship, physical or mental disability, sexual orientation, gender nonconformity, status as a transgender individual, gender identity, genetic information, marital status, family responsibility, armed services, or any other status protected by law.
