Principal Analytics Engineer

Cambridge Mobile Telematics
Cambridge, MA
On-site

Who this role is best for

Analytics professionals with deep SQL and dbt expertise will find this technical leadership role in mobility safety and AI-driven data architecture.

Best fit for

  • Candidates with 7+ years of analytics engineering experience and strong SQL skills in dimensional modeling
    — “Expert SQL and dimensional modeling, including grain, star and snowflake schemas”
  • Individuals who have led end-to-end data product development with CI/CD and automated testing
    — “Own data products end to end, from discovery and contracts through automated testing, CI/CD deployment”
  • Professionals with a track record of designing semantic layers and vector-enabled data services
    — “Design and productionize a modular semantic layer and shared data services that deliver governed metrics”

Things to consider

  • The role demands high ownership and direct impact, with limited room for ambiguity
    — “resolve ambiguous needs, align definitions and governance”
  • Strong cross-functional collaboration is expected with multiple teams
    — “partners with Customer Solutions, Data Engineering, Product, and Customer Success”

How to stand out

  • Highlight experience with Databricks, Delta Lake, and modular dbt frameworks in your resume
    — “hands-on Databricks, Delta Lake, and Spark experience”
  • Emphasize your ability to align metric definitions and resolve governance issues across stakeholders
    — “Align metric definitions, governance, and domain ownership; resolve ambiguity with internal and external stakeholders”
  • Demonstrate your track record in building scalable, reusable data products with clear ownership
    — “deliver scalable, well-documented data products with clear ownership and customer impact”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • architecting and operating high-scale dbt models
  • delivering scalable, well-documented data products
  • raising team standards through reusable dbt frameworks
Typical background
7+ years of experience in analytics engineering, data engineering, or data architecture

Skills & requirements

Required

SQLDimensional ModelingdbtDatabricksDelta LakeSparkGitCI/CDObservabilitySemantic LayersAi/llm Tools

Preferred

Production EngineeringTechnical ReviewsAi-assisted Development

Stack & domain

SQLDimensional ModelingdbtDatabricksDelta LakeSparkGitCI/CDAutomated TestingObservabilitySLA SupportPerformance TuningData CatalogsLineagePolicy-aware AccessSemantic LayersEmbeddingsSemantic SearchVector DatabasesAi/llm ToolsLeadershipCommunicationTeamworkProblem-solvingAttention To DetailData ArchitectureBIData ScienceAI

About the role

Original posting from Cambridge Mobile Telematics

The Principal Analytics Engineer - Data Architecture is a principal individual contributor and technical leader on the Customer Analytics team. This role builds and operates CMT's relational data marts, dbt data products, and reusable semantic layer for BI, data science, and AI.

The position partners with Customer Solutions, Data Engineering, Product, and Customer Success to resolve ambiguous needs, align definitions and governance, and deliver scalable, well-documented data products with clear ownership and customer impact. 

Responsibilities: 

Use independent judgment and discretion to architect relational data marts and high-scale dbt models in Databricks and Delta Lake, using dimensional modeling and software engineering practices for scale, maintainability, and cost efficiency

Own data products end to end, from discovery and contracts through automated testing, CI/CD deployment, documentation, monitoring, support, and controlled change

Design and productionize a modular semantic layer and shared data services that deliver governed metrics, dimensions, metadata, approved access paths, and vector-enabled retrieval across BI, data science, and AI

Operate high-availability data and reporting products to agreed SLAs through freshness and quality alerts, lineage, observability, proactive issue detection, and urgent resolution

Align metric definitions, governance, and domain ownership; resolve ambiguity with internal and external stakeholders, and raise team standards through reusable dbt frameworks, technical reviews, mentoring, and AI-assisted development

Complete any additional tasks as they arise

Qualifications: 

Bachelor’s degree or equivalent years of experience and/or certification in a related field

7+ years of experience in analytics engineering, data engineering, or data architecture with a bachelor's degree, or 5+ years with a graduate degree

Expert SQL and dimensional modeling, including grain, star and snowflake schemas, conformed facts and dimensions, SCD Type 2, snapshots, event models, and incremental processing

Extensive dbt experience with modular models, macros, packages, custom tests, documentation, and source freshness; hands-on Databricks, Delta Lake, and Spark experience

Production engineering experience with Git, CI/CD, automated testing, observability, SLA support, performance tuning, data catalogs, lineage, and policy-aware access

Experience with semantic layers, embeddings, semantic search, and vector databases, plus exposure to AI/LLM tools as data consumers; proven product-oriented ownership and cross-functional influence

Compensation and Benefits: 

Fair and competitive salary based on skills and experience, and annual performance bonus 

Equity may be awarded in the form of Restricted Stock Units (RSUs) 

Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave 

Unlimited Paid Time Off including vacation, sick days & public holidays 

Flexible scheduling and work from home policy depending on role and responsibilities

Base Salary Range

The base salary range for this position is: $169,700 to $212,100. This range is specifically for Cambridge, MA

Additional Perks: 

Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world 

Join an industry leader — 65 million drivers protected, powering 140+ programs across 25 countries

Recognized innovator in mobility AI, earning top honors including the TIME Industry Leader in AI, a Gold Edison Award, and the Artificial Intelligence Excellence Award for AI for Social Good. CMT is also Great Place to Work Certified 

Be part of the team inventing the future of mobility and road safety 

Move fast, own outcomes, do work that matters 

High ownership, small teams, and direct access to leadership — no layers between your work and its impact 

Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match 

Summer Fridays provide team members with half days to recharge 

Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness 

Comprehensive wellness, education, and employee assistance programs

Commitment to Diversity and Inclusion: 

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on Instagram @cmt.ai 

About Cambridge Mobile Telematics: 

Cambridge Mobile Telematics (CMT) is the world’s largest telematics and AI company for safer mobility. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, proactively identifies and reduces driving risk, leading to fewer crashes and injuries. To date, CMT’s technology has helped prevent over 126,000 crashes worldwide. CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims. Headquartered in Cambridge, MA, CMT operates globally with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia. Learn more at www.cmt.ai.

Source: Cambridge Mobile Telematics careers

Similar roles