Pay
$122K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 321 postings in the last year. Stated ranges, not salaries paid.
New Haven, CT, United States
Likely evergreen, first seen by us 26 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Design and implement physical data models in Snowflake
Translate conceptual and logical models into Snowflake schemas, tables and views
Refine ETL/ELT processes and integration patterns with data engineers
Align models and metadata with governance standards, including Collibra
Document modeling and transformation logic for traceability and compliance
Design and implement physical data models in Snowflake
Translate conceptual and logical models into Snowflake-ready schemas, tables, and views.
Collaborate with data engineers to refine ETL/ELT processes and data integration patterns.
Align models and metadata with governance standards and tools, including Collibra.
Ensure all modeling and transformation logic is well-documented for traceability and compliance.
4-7 years of experience as a Data Modeler or similar role.
Experience within pharmaceutical or life sciences organizations.
Strong expertise in Snowflake data modeling and SQL.
Familiarity with data quality tools such as Ataccama.
Proven experience working directly with business users, product owners, and technical teams to define data requirements, business rules, and data models.
Experience working in Agile environments and facilitating requirements-gathering workshops.
Strong understanding of ETL/ELT and data integration concepts; experience with dbt, Matillion, or Fivetran is a plus.
Familiarity with AWS S3 is a plus.
Likely evergreenReposted 2 times since Jul 15, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
$122K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 321 postings in the last year. Stated ranges, not salaries paid.
Day 26
Similar jobs usually come down between day 6 and day 47.
From 1,405 similar postings that came down. Coming down is not always a hire.
13 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 4-7 years of experience as a Data Modeler or similar role. - Strong expertise in Snowflake data modeling and SQL. - Strong business partnering, communication, and stakeholder management skills, with the ability to gather, challenge, and translate business requirements into scalable data solutions.
- Experience with metadata and data governance platforms, ideally Collibra. - Familiarity with AWS S3 is a plus. - Solid understanding of data modeling methodologies, including Data Vault, Star Schema, and Normalization.
- Proven experience working directly with business users, product owners, and technical teams to define data requirements, business rules, and data models. - Strong understanding of ETL/ELT and data integration concepts; experience with dbt, Matillion, or Fivetran is a plus. - Data Vault 2.0 experience is required.
Job Description We are looking for a skilled and motivated Data Modeler (Snowflake) to support the integration of regional data warehouses into a centralized Snowflake-based data platform for our clients in the pharmaceutical industry. This mid-level role is ideal for candidates with a strong foundation in physical data modeling and implementation, particularly within Snowflake, and who can collaborate across data engineering, architecture, and governance teams. You'll play a vital role in ensuring the data platform is efficient, scalable, and compliant with best practices and governance standards. What You Will Be Doing:
What You Will Be Doing: - Design and implement physical data models in Snowflake, focusing on scalability, performance, and maintainability. - Translate conceptual and logical models into Snowflake-ready schemas, tables, and views.
- Design and implement physical data models in Snowflake, focusing on scalability, performance, and maintainability. - Translate conceptual and logical models into Snowflake-ready schemas, tables, and views. - Collaborate with data engineers to refine ETL/ELT processes and data integration patterns.
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Yes. We’ve followed 7 other Senior Data Modeler (Snowflake) jobs there since July 2026. 2 came down, usually after about 9 days. 5 are still up.
Large employers often post one title for several teams, so these can be separate openings.
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
We are looking for a skilled and motivated Data Modeler (Snowflake) to support the integration of regional data warehouses into a centralized Snowflake-based data platform for our clients in the pharmaceutical industry. This mid-level role is ideal for candidates with a strong foundation in physical data modeling and implementation, particularly within Snowflake, and who can collaborate across data engineering, architecture, and governance teams. You'll play a vital role in ensuring the data platform is efficient, scalable, and compliant with best practices and governance standards.
What You Will Be Doing:
Requirements
Preferred
WHY YOU SHOULD JOIN FUSION:
At Fusion, you’ll join a diverse team of talented professionals from around the world, united by a passion for delivering impactful digital transformation in the life sciences industry. You’ll be part of a flat-structured, collaborative organization where decisions are made efficiently, and your expertise directly shapes client outcomes.
You’ll work alongside experienced consultants on complex, meaningful projects that demand both precision and innovation. Our culture emphasizes continuous learning, open knowledge sharing, and cross-functional teamwork—empowering you to grow both professionally and personally.
Joining Fusion means becoming part of a company that:
WHAT WE OFFER - FUSION BENEFITS
We’ve designed our benefits to support your growth, well-being, and global mobility.
Flexibility & Balance
Growth & Development
Recognition & Reward
Global Mobility & Local Support
OUR SELECTION PROCESS:
Your time is valuable. That’s why our hiring process is clear, efficient, and focused on mutual fit:
Upload Your CV – Submit your application using the relevant button, depending on the job platform (approx. 3 minutes).
Wait for Profile Review – Our Talent Acquisition team will assess your CV and experience (approx. 2 weeks).
Join an Introductory Call – Our Talent Acquisition team will arrange a brief conversation (15–30 minutes via Teams or phone) to tell you more about Fusion, the role, and understand your expectations.
Attend a Technical Interview – Participate in a 30-minute session with one of our experts to discuss your skills and experience in more detail.
Participate in a Client Interview (if applicable) – For some roles, you may be invited to a client-facing discussion (30–60 minutes online).
Receive Final Feedback – We aim to share timely feedback and move forward quickly.
Fusion is an equal opportunity employer. We value diversity and are committed to fostering an inclusive workplace for all.
Swiss Delivery Excellence: Transforming Life Science Consulting Worldwide.
Fusion Consulting is a globally leading Business and IT boutique consultancy specialized in the Life Sciences industry, partnering with leading companies in pharma, healthcare, and animal health.
With over 450 employees and 25 offices worldwide, our mission is to revolutionize our clients' business transformation challenges and set new industry standards through innovative solutions.
Focused on S4HANA, Data & Cloud, and innovative technologies, Fusion Consulting brings unparalleled expertise and commitment to excellence to every project we undertake.
Grounded in our commitment to fast and intelligent decision-making, our client-first and open-hearted approach defines our ethos. With unwavering support and an entrepreneurial spirit, our global teamwork transcends boundaries and turns shared visions into reality.
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New Haven, CT, United States
- Excellent communication, presentation, and documentation skills, with the ability to explain technical concepts to non-technical stakeholders. - Ability to work independently in a remote, cross-functional environment. Preferred
Flexibility & Balance - Work from Anywhere: Enjoy up to 25 days per year of remote work from any global location. - Recharge Freely: Take the time you need with flexible time off—beyond standard holiday allowances.
No clear work-authorization passage found. Eligibility is unconfirmed.