We are building a modern, enterprise-wide Data-as-a-Service (DaaS) platform—and at its heart lies the Semantic Data Modeling layer. This layer transforms raw data into trusted, consistent, and reusable 360° data objects that power analytics, automation, and product experiences across domains.

As a Senior Staff Software Engineer, you will lead the design and engineering of large-scale semantic data models representing key business entities like Customer 360, Fleet 360, and Benefits 360. You’ll architect systems that enforce data standardization, business logic, and semantic alignment—delivering high-performance, versioned, and auditable data assets to stakeholders across the enterprise.

This is more than data modeling—this is about building the shared language of the business. If you're motivated by systems-level thinking, technical rigor, and semantic clarity, this is your role.

Pay rate: $158-210k per annum!

What You’ll Do

Architect and implement platform foundations for semantic data modeling, including reusable modeling patterns, data versioning, and temporal semantics.
Translate complex business definitions into scalable, interpretable, and trustworthy data entities used across analytics, AI/ML, APIs, and operational workflows.
Own the modeling of high-volume, high-complexity domains—such as customers, fleets, transactions, and providers—at enterprise scale.
Drive rigorous enforcement of data validation, referential integrity, and schema evolution, enabling semantic consistency across domains.
Collaborate with business, product, and analytics teams to ensure semantic models reflect how we understand and use our data.
Define best practices for building modular, testable, and maintainable pipelines, and lead their implementation across a growing team.
Partner with Control Plane, Governance, and DataOps teams to embed observability, lineage, and traceability into the platform.

What You’ll Bring

10+ years of experience in software or data engineering, with a focus on large-scale systems and data modeling platforms.
Proven expertise in data architecture and semantic modeling, especially in designing entity-centric, reusable models (e.g., Customer 360, Provider 360).
Deep understanding of data structures, transformation patterns, temporal modeling, and business logic abstraction.
Strong software engineering background with experience in building scalable systems using modern architectural patterns.
Experience with data lifecycle management, including versioning, auditability, and reproducibility of derived data objects.
Excellent communication skills and a track record of cross-functional leadership across engineering, product, and business stakeholders.
A passion for building platforms that promote trust, consistency, and scalability in enterprise data usage.

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.

Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-privacy-policy

Requirements

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

The California Fair Chance Act
Los Angeles City Fair Chance Ordinance
Los Angeles County Fair Chance Ordinance for Employers
San Francisco Fair Chance Ordinance

Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.