Lead Analytics Engineer

Vasion, Inc.; Lehi (UT); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Vacation bonus

Flexible paid time off

Paid parental leave

401k with company match

HSA

On-site gym & perks

Job summary

Vasion, Inc. is seeking a Lead Analytics Engineer to serve as the primary architect of our data platform. You will own Snowflake design, ELT pipelines, and the semantic layer, while guiding analytics strategy and mentoring 1–2 engineers.

You will lead AI-powered analytics initiatives, ensure data quality and governance, and collaborate with stakeholders to deliver trusted metrics and insights across the organization.

Qualifications

• 5+ years of experience in analytics engineering or related role.
• Expert SQL and data modeling skills (Kimball, OBT, or similar).
• Hands-on experience with dbt Core/Cloud in production.
• Strong Snowflake expertise — warehouse configuration, query optimization, cost controls, RBAC.
• Experience managing ELT pipelines with Airbyte or Fivetran.
• Ability to manage and prioritize a project backlog with technical debt and new features.
• Strong communicator who aligns stakeholders and drives momentum.
• Experience deploying AI tools for analytics and related tooling.

Responsibilities

• Architect and govern the Snowflake data warehouse; optimize performance and costs.
• Own and maintain ELT pipelines via Airbyte Cloud and Fivetran.
• Design and maintain semantic layer and metrics used by AI agents and dashboards.
• Establish standards for data modeling, pipelines, testing, and documentation.
• Lead dbt models, tests, and docs in production; drive best practices.
• Own analytics roadmap; prioritize work and align with business needs.
• Collaborate with BI Manager and stakeholders to triage requests and plan work.
• Facilitate sprint planning and backlog grooming; communicate status clearly.

Skills

SQL

Data modeling

dbt Core/Cloud

Snowflake

ELT pipelines

Airbyte/Fivetran

Prioritization

Mentorship

Communication

Tools

Airbyte Cloud

Fivetran

dbt Core

dbt Cloud

Snowflake

RBAC

Job description

For more than a decade, Vasion has been helping companies simplify their print infrastructure, automate business processes, and integrate their technology in a more secure environment. Our mission, to make digital transformation attainable for everyone, drives a culture of innovation and exploration. We have one simple goal: help organizations simplify processes through automation and integration.

So we created simple, cost-effective, and easy-to-implement digital tools that work together, removing bottlenecks and improving efficiency. And we’re always on the lookout for new people who can help us innovate, grow, and reach our goal.

About the role

Vasion is looking for a Lead Analytics Engineer to serve as the primary technical architect of our data platform. This is a high-ownership, hands-on role where you will design and govern the systems that power our analytics; from ingestion through transformation to the semantic layer feeding our reporting. Beyond the technical work, you will lead project prioritization for the Analytics Engineering team, drive AI-powered analytics initiatives, and mentor 1–2 Analytics Engineers to help elevate their craft. This role does not carry formal people management responsibilities, but your technical leadership will directly shape how the team operates and grows.

What you'll do

• Serve as the primary architect of our Snowflake data warehouse — schema design, performance optimization, and cost management
• Own and maintain ELT pipelines via Airbyte Cloud and Fivetran, ensuring reliable, timely data delivery
• Design and maintain the semantic layer and metrics definitions consumed by our AI agents, visualization layer, and other downstream tools
• Establish and enforce standards for data modeling, pipeline design, testing, and documentation

Development & Governance

• Lead the design and development of dbt models, tests, and documentation in a production environment
• Define best practices for project structure, naming conventions, and incremental strategies
• Own dbt DAG health, model performance, and overall project quality
• Own the Analytics Engineering roadmap — track work, manage priorities, and align delivery with business needs
• Partner with the BI Manager and stakeholders to triage incoming requests and sequence work effectively
• Facilitate planning rituals (sprint planning, backlog grooming) to keep the team focused and unblocked
• Communicate project status, risks, and timelines clearly to both technical and non-technical audiences

AI Analytics Initiatives

• Lead Vasion's analytics AI strategy — identify, evaluate, and implement AI tools and workflows that enhance data delivery and insights
• Explore and prototype the use of LLMs and AI-assisted tooling within the data stack (e.g., natural language querying, AI-assisted dbt development, anomaly detection)
• Champion a culture of AI curiosity within the BI and Analytics Engineering team
• Stay current on emerging AI/ML capabilities relevant to analytics engineering and bring practical recommendations to the team

Data Quality & Governance

• Implement and maintain data quality frameworks and alerting across the stack
• Document data lineage, definitions, and ownership in a centralized catalog
• Partner with data consumers to build and maintain trust in the data

Technical Mentorship

• Guide and mentor 1–2 Analytics Engineers through code reviews, pairing, and technical feedback
• Translate business requirements into clear technical specs the team can execute on
• Help junior team members grow their skills in SQL, dbt, and data modeling best practices

Qualifications

• 5+ years of experience in analytics engineering, data engineering, or a closely related role
• Expert-level SQL and strong data modeling skills (Kimball, OBT, or similar)
• Deep hands-on experience with dbt Core or dbt Cloud in a production environment
• Strong Snowflake expertise — warehouse configuration, query optimization, cost controls, and RBAC
• Experience managing ELT pipelines with tools such as Airbyte or Fivetran
• Ability to manage and prioritize a project backlog, balancing technical debt with new feature delivery
• Strong communicator who can align stakeholders and keep projects moving
• Experience deploying agentic AI tools and building the infrastructure to deliver consistent metrics using AI using Cortex, Claude, or other AI platform

Preferred Qualifications

• Hands‑on experience with LLMs, AI-assisted tooling, or ML pipelines in an analytics context
• Familiarity with Domo or similar BI platforms from a data‑delivery perspective
• Experience with data governance frameworks and metadata/catalog tooling
• Python proficiency for pipeline or transformation work
• Flexible work environment
• Vacation Bonus
• Flexible paid time off
• Paid parental leave
• Competitive pay
• A full suite of traditional benefits
• 401k with company match and immediate vesting
• Financial wellness education
• Company‑contributed HSA
• On‑site perks include gym, pickleball, snacks & drinks, arcade, theater room, etc.

Our Core Values

Vasion looks for people who will exemplify its four core values and are driven to become:

• Disruptive Visionaries: Our customers are the heroes, and our role is to be a guide on their journey, truly listening and identifying the needs and wants of our customers.
• Relationship Builders: We treat people as people, building strong relationships through empathy, compassion, and honest communication.
• Candor Seekers: Candid conversations are critical to achieving objectives, and we nurture a culture of caring personally and challenging directly.
• Action Owners: Every employee takes ownership of any failures and develops a plan to win, no matter their tenure or circumstance.

More about Vasion

Visithttps://www.vasion.comto learn more about Vasion.

Additional Information

Vasion is an equal opportunity employer. We evaluate qualified applicants without regard to race, age, color, religion, sex, national origin, disability, veteran status, gender identity, sexual orientation and other legally protected characteristics.