Pay
In line with similar jobs
$185K–$250K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
La Jolla, CA
Actively hiring, first seen by us 1 day agoCCPA Job Applicant: Pay Range: $185,000 - $250,000 + Bonus Potential & Participation in our Competitive Long-Term Incentive (LTI) Program. The above pay range is for all US-based roles based on function and level, benchmarked against companies of similar size and scope. To be compliant with local legislation as well as provide greater transparency to candidates, we disclose salary ranges on all job postings regardless of the desired job location. We also offer a competitive annual discretionary bonus program and the opportunity for annual long-term incentive stock grants. In addition, we offer a highly competitive benefits package. Final offer amounts are determined by multiple factors, including candidate experience and qualifications, and may vary from the amounts listed aboveRead the full posting
Employment type in the employer’s posting: SALARIED_FTFrom the employer’s posting
Own the target architecture, data model and roadmap for the AI/ML data foundation on Snowflake
Build temporal, append-only transaction-level models so any figure can be reproduced as of any date
Build entity resolution and master data across internal systems and external partners
Build feature pipelines, training datasets, retrieval and governed tool access for models and agents
Hire, lead and develop a small team of AI data engineers
Own the target architecture, data model and roadmap for the AI/ML data foundation on Snowflake
Design append-only, temporal models at the transaction level so every figure can be traced to its source and reproduced as of any date
Build entity resolution and master data across internal systems and external partners, with match quality measured and every merge traceable
Build what models and agents run on: feature pipelines, training datasets, retrieval and vector search, and governed tool access over the entity layer
Hire, lead and develop a small team of AI data engineers
Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, Information Systems or a related field, or equivalent practical experience. A proven build record matters more than pedigree.
10+ years in data engineering or data architecture, including an enterprise data model you personally designed and built from raw sources to a conformed layer (dimensional, Data Vault or temporal). Experience leading or mentoring engineers.
Hands-on experience making data usable by AI and ML: features, LLM-based extraction from documents, retrieval and vector search, semantic layers and agent tool access such as MCP. You use AI coding tools every day.
What we are looking for: - Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, Information Systems or a related field, or equivalent practical experience. A proven build record matters more than pedigree. - 10+ years in data engineering or data architecture, including an enterprise data model you personally designed and built from raw sources to a conformed layer (dimensional, Data Vault or temporal). Experience leading or mentoring engineers.
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$185K–$250K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 1
Early. Similar jobs usually come down between day 7 and day 53.
From 7,797 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd 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.
- Entity resolution or master data at scale: matching, golden records and measured match quality. - Production Snowflake and dbt, strong SQL and Python, and engineering fundamentals: Git, automated testing, CI/CD and infrastructure as code. - Hands-on experience making data usable by AI and ML: features, LLM-based extraction from documents, retrieval and vector search, semantic layers and agent tool access such as MCP. You use AI coding tools every day.
- Taking in messy third-party data and writing the specifications that fix it at the source. - Snowflake ML (Feature Store, Model Registry), Cortex AI or another production ML platform; SnowPro or dbt certification. - Semantic layers, ontologies or knowledge graphs.
Design and build the foundation - Own the target architecture, data model and roadmap for the AI/ML data foundation on Snowflake, and the design decisions that go with them. - Design append-only, temporal models at the transaction level so every figure can be traced to its source and reproduced as of any date.
Enable AI and machine learning - Build what models and agents run on: feature pipelines, training datasets, retrieval and vector search, and governed tool access over the entity layer, using Snowflake ML (Feature Store, Model Registry) and Cortex where they fit. - Work with our AI scientists and actuaries, who build the models for underwriting, claims and catastrophe risk; you own the features, retrieval and lineage from source to feature to model.
Complete your application on ats.rippling.com. The employer’s form will show what is required.
Already applied? Track this application
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Why choose Palomar?
Palomar is a rapidly growing and innovative insurer focused on providing specialty insurance to residential and commercial customers. Palomar welcomes the best and brightest to our thriving team. Guided by an entrepreneurial spirit, Palomar is building a dynamic and diverse team.
Join a company built on a culture of agility, innovation and authenticity that delivers peace of mind and protection to individuals and businesses impacted by adversity.
Want to learn more about our exciting journey? https://ir.plmr.com/corporate-profile/default.aspx
We are Hiring!
Location: La Jolla, CA
The Details:
If you have built a data foundation that actuaries, auditors and data scientists all trusted, and you want your next one to power AI where the answers drive actionable insights and measurable efficiency savings, this is that job.
Palomar is a fast-growing specialty insurer, and AI is a top company priority. We are hiring a Director, Data Architecture - AI/ML Foundations to design and build the connected data foundation that our analytics, actuarial, data science, AI and machine learning work runs on. This is a new role: you will set the architecture, make the key design decisions, and build much of the first version with a small, dedicated team that you will help staff.
You will build a trusted, connected record of our business, from submission to policy to claim, at the transaction level, with temporal history so any figure can be reproduced as of any date. You will lead the data modeling, entity resolution and semantic layer that give brokers, insureds, policies, locations and claims one consistent identity, and make that data usable by people, models and AI agents through governed access.
You will report to the EVP, Head of AI, and work closely with Actuarial, Data & Analytics, Underwriting, Claims and Finance, your first customers. As a public company, we hold our data to a high bar: governed, reconciled and auditable, without slowing the work down.
You will spend most of your first year designing and building hands-on with a small team of AI data engineers focused on entity resolution, features and retrieval.
What will you do:
Design and build the foundation
Enable AI and machine learning
Lead the team and the partnerships
What we are looking for:
Additional experience we value:
We love people who want to:
If you thrive in a dynamic environment, and like working with happy, authentic, talented people, you'll enjoy a career with Palomar!
What will you get in return?
Diversity at Palomar
At Palomar, we are committed to diversity, equality and inclusion in all facets of the organization. We have built an open culture that celebrates the diversity of our workforce, while actively championing equality and inclusion practices that make us a company people want to work with and work for.
We believe that diversity, equality and inclusion yields greater organizational creativity and productivity, which helps us serve our customers and partners more effectively. Delivering on our diversity commitment returns greater value to our shareholders and ultimately makes a positive impact to the communities in which we do business and to the people who live in them
#PalomarPride #Insurancejobs #hiring
Accommodations:
Palomar will consider reasonable accommodations to ensure a qualified applicant with a disability can be considered for the position. Palomar will also consider necessary modifications to the physical work environment, or to the way a job is usually performed, so an individual with a disability can perform the essential functions of the position. Additional accommodations will be considered that enable an employee with a disability to enjoy equal benefits and privileges of employment like those that are enjoyed by other employees without disabilities.
For more information about our company, visit us at www.plmr.com. Palomar is an Equal Opportunity Employer.
No phone calls or agency solicitation please
Pay Range: $185,000 - $250,000 + Bonus Potential & Participation in our Competitive Long-Term Incentive (LTI) Program.
The above pay range is for all US-based roles based on function and level, benchmarked against companies of similar size and scope. To be compliant with local legislation as well as provide greater transparency to candidates, we disclose salary ranges on all job postings regardless of the desired job location. We also offer a competitive annual discretionary bonus program and the opportunity for annual long-term incentive stock grants. In addition, we offer a highly competitive benefits package. Final offer amounts are determined by multiple factors, including candidate experience and qualifications, and may vary from the amounts listed above
Selected passages from the saved posting. Check the full description for conditions and exceptions.
CCPA Job Applicant: Pay Range: $185,000 - $250,000 + Bonus Potential & Participation in our Competitive Long-Term Incentive (LTI) Program. The above pay range is for all US-based roles based on function and level, benchmarked against companies of similar size and scope. To be compliant with local legislation as well as provide greater transparency to candidates, we disclose salary ranges on all job postings regardless of the desired job location. We also offer a competitive annual discretionary bonus program and the opportunity for annual long-term incentive stock grants. In addition, we offer a highly competitive benefits package. Final offer amounts are determined by multiple factors, including candidate experience and qualifications, and may vary from the amounts listed above
La Jolla, CA
- Clear communication with actuaries, finance leaders, executives and engineers: you explain tradeoffs plainly and bring partners with you. - Able to work on-site 3x/week in a hybrid capacity. Additional experience we value:
No clear work-authorization passage found. Eligibility is unconfirmed.