Senior Data Engineer, AI Data Products

Lincoln Financial Group; Radnor (Delaware County); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Lincoln Financial Group is seeking a senior data/graph architect to lead discovery, model design, and graph-based retrieval across complex data environments. You will design canonical models, SPARQL-enabled queries, and secure access layers while building scalable AWS pipelines.

The role requires hands-on experience with graph databases (Neptune), GraphRAG, and cloud data platforms, plus advanced Python/SQL skills, CI/CD, and data governance ownership.

Qualifications

• Bachelor's degree or equivalent work experience with 5+ years of relevant experience building production data systems.
• Hands-on experience building and operating graph solutions with Amazon Neptune or comparable technology, including graph modeling, SPARQL, query analysis, and performance tuning.
• Hands-on implementation of GraphRAG or comparable hybrid graph-vector retrieval, including ingestion, embeddings, retrieval, reranking, grounding, and citations.
• Advanced Python and SQL, plus strong AWS data-platform experience, orchestration, data modeling, distributed processing, automated testing, CI/CD, and infrastructure as code.
• Proven ability to translate a business capability into semantics, rules, contracts, controls, interfaces, and measurable evaluations, and to lead architecture decisions through influence while contributing hands-on.
• Ownership of quality, lineage, privacy, access, observability, recovery, and production operations for sensitive or regulated data.

Responsibilities

• Lead discovery with business and product owners, domain experts, stewards, source owners, and partner AIDA pillars to define questions, actions, outcomes, product boundaries, and accountable owners.
• Design the product's canonical and consumer models, ontology and semantic layer, business rules, contracts, interfaces, quality controls, metadata, lineage, provenance, and secure access.
• Design and build graph models in Amazon Neptune or comparable technology, including entities, relationships, effective dates, rules, provenance, SPARQL queries, and performance tuning.
• Implement GraphRAG and hybrid graph-vector retrieval, including ingestion, entity and relationship extraction, embeddings, graph enrichment, filtering, retrieval, reranking, grounding, and citations.
• Design and build AWS source-to-product pipelines and agent-facing APIs or Model Context Protocol interfaces using fit-for-purpose lakehouse, orchestration, transformation, and infrastructure-as-code patterns.
• Evaluate graph, relational, vector, search, and rules-based approaches against representative questions, expected evidence, answer quality, latency, security, operational complexity, and cost.
• Lead a blended delivery pod through production readiness, code and design review, incident prevention, partner knowledge transfer, and reusable patterns that avoid unnecessary complexity and lock-in.

Skills

Graph solutions

Python

SQL

AWS

Data modeling

CI/CD

Education

Bachelor's degree or equivalent work experience

Tools

Amazon Neptune

SageMaker

OpenSearch

Bedrock

Job description

Be Aware of Fraudulent Recruiting Activities: Lincoln values the privacy and security of every applicant and urges all applicants to diligently protect their sensitive personal information from scams targeting job seekers. These scams can take many forms including fake employment applications, bogus interviews and falsified offer letters.

Lincoln will not ask applicants to provide their social security numbers, date of birth, bank account information or other sensitive information in job applications. Additionally, our recruiters do not communicate with applicants through free e-mail accounts (Gmail, Yahoo, Hotmail) or conduct interviews utilizing video chat rooms. We will never ask applicants to provide payment during the hiring process or extend an offer without conducting a phone, live video or in-person interview. Please contact Lincoln's fraud team at [e-mail] if you encounter a recruiter or see a job opportunity that seems suspicious.

Select how often (in days) to receive an alert:

Alternate Locations: Radnor, PA (Pennsylvania); Charlotte, NC (North Carolina); Fort Wayne, IN (Indiana); Greensboro, NC (North Carolina)

Work Arrangement:

Hybrid : Employee will work 3 days a week in a Lincoln office

Relocation assistance:is not available for this opportunity.

Requisition #:76678

The Role at a Glance

What you'll be doing

• Lead discovery with business and product owners, domain experts, stewards, source owners, and partner AIDA pillars to define the questions, actions, outcomes, product boundaries, and accountable owners.
• Design the product's canonical and consumer models, ontology and semantic layer, business rules, contracts, interfaces, quality controls, metadata, lineage, provenance, and secure access.
• Design and build graph models in Amazon Neptune or comparable technology, including entities, relationships, effective dates, rules, provenance, SPARQL queries, and performance tuning.
• Implement GraphRAG and hybrid graph-vector retrieval, including ingestion, entity and relationship extraction, embeddings, graph enrichment, filtering, retrieval, reranking, grounding, and citations.
• Design and build AWS source-to-product pipelines and agent-facing APIs or Model Context Protocol interfaces using fit-for-purpose lakehouse, orchestration, transformation, and infrastructure-as-code patterns.
• Evaluate graph, relational, vector, search, and rules-based approaches against representative questions, expected evidence, answer quality, latency, security, operational complexity, and cost.
• Lead a blended delivery pod through production readiness, code and design review, incident prevention, partner knowledge transfer, and reusable patterns that avoid unnecessary complexity and lock-in.

What we’re looking for

Must Haves:

• A bachelor's degree or equivalent work experience, plus typically 5 or more years of relevant experience with ownership of complex production data systems or products.
• Substantial hands‑on experience building and operating graph solutions with Amazon Neptune or comparable technology, including graph modeling, SPARQL, query analysis, and performance tuning.
• Hands‑on implementation of GraphRAG or comparable hybrid graph‑vector retrieval, including ingestion, embeddings, retrieval, reranking, grounding, and citations.
• Advanced Python and SQL, plus strong AWS data‑platform experience, orchestration, data modeling, distributed processing, automated testing, CI/CD, and infrastructure as code.
• Proven ability to translate a business capability into semantics, rules, contracts, controls, interfaces, and measurable evaluations, and to lead architecture decisions through influence while contributing hands‑on.
• Ownership of quality, lineage, privacy, access, observability, recovery, and production operations for sensitive or regulated data.

Nice to Haves:

• Amazon Bedrock Knowledge Bases, OpenSearch, Bedrock AgentCore, SageMaker, MLflow, or comparable production AI and retrieval services.
• Model Context Protocol design, authorization propagation, agent evaluation and observability, ontologies, entity resolution, feature stores, or knowledge‑graph governance.
• Deep insurance or financial‑services experience and technical leadership across employees, contractors, consultants, or managed‑service teams.

Application Deadline

Applications for this position will be accepted through 1/24/27 subject to earlier closure due to applicant volume.

What’s it like to work here?

At Lincoln Financial, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values our unique perspectives, insights and contributions and invests in programs that empower each of us to take charge of our own future.

What’s in it for you:

Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values andleadership attributes

Leadership development and virtual training opportunities

Free financial counseling, health coaching and employee assistance program

Tuition assistance program

Work arrangements that work for you

Effective productivity/technology tools and training

The pay range for this position is with anticipated pay for new hires between the minimum and midpoint of the range and could vary above and below the listed range as permitted by applicable law. Pay is based on non‑discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role. The base pay is just one component of Lincoln’s total rewards package for employees. In addition, the role may be eligible for the Annual Incentive Program, which is discretionary and based on the performance of the company, business unit and individual. Other rewards may include long‑term incentives, sales incentives and Lincoln’s standard benefits package.

About The Company

Lincoln Financial (NYSE: LNC) helps people to confidently plan for their version of a successful future. We focus on identifying a clear path to financial security, with products including annuities, life insurance, group protection, and retirement plan services.

With our 120‑year track record of expertise and integrity, millions of customers trust our solutions and service to help put their goals in reach.

Lincoln Financial Distributors, a broker‑dealer, is the wholesale distribution organization of Lincoln Financial. Lincoln Financial is the marketing name for Lincoln Financial Corporation and its affiliates including The Lincoln National Life Insurance Company, Fort Wayne, IN, and Lincoln Life & Annuity Company of New York, Syracuse, NY. Lincoln Financial affiliates, their distributors, and their respective employees, representatives and/or insurance agents do not provide tax, accounting or legal advice.

Lincoln is committed to creating an inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Additional Information

This position may be subject to Lincoln’s Political Contribution Policy. An offer of employment may be contingent upon disclosing to Lincoln the details of certain political contributions. Lincoln may decline to extend an offer or terminate employment for this role if it determines political contributions made could have an adverse impact on Lincoln’s current or future business interests, misrepresentations were made, or for failure to fully disclose applicable political contributions and or fundraising activities.

Any unsolicited resumes or candidate profiles submitted through our web site or to personal e‑mail accounts of employees of Lincoln Financial are considered property of Lincoln Financial and are not subject to payment of agency fees.

Lincoln Financial ("Lincoln" or "the Company") is an Equal Opportunity employer and, as such, is committed in policy and practice to recruit, hire, compensate, train and promote, in all job classifications, without regard to race, color, religion, sex, age, national origin or disability. Opportunities throughout Lincoln are available to employees and applicants are evaluated on the basis of job qualifications. If you are a person with a disability that impedes your ability to express your interest for a position through our online application process, or require TTY/TDD assistance, contact us by calling (866) 922‑6543.

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