Senior BI Engineer

Hey, we're amp, and we're leading the fitness evolution.

Forget the guesswork, the clutter, and the compromises—amp brings full-body, AI-powered workouts straight to your home. With intelligent resistance, expert-led programs, real-time progress tracking, and a sleek, space-saving design, we make high-performance training part of everyday life.

Our Mission?

To help people live longer, stronger lives by making strength training effortless, effective, and built around you.

We're a team of 120+ passionate minds—designers obsessed with every detail, engineers solving real problems, and training experts who know that consistency beats intensity. We've brought together talent from Apple, DraftKings, Nike, Spotify, and Meta, all with one goal: redefining strength training from the ground up. amp isn't just a product—it's a new standard.

We built amp because strength training should fit your life, not the other way around.

Where We Are Now?

Over the past four years, we've developed a next-generation strength training system designed for personalized, intelligent workouts. After a successful soft launch, we're scaling fast with a cutting-edge D2C e-commerce platform built for massive growth.

Now, we're looking for top-tier talent to help shape the future of strength training.

Are you in?

We're looking for an
BI / Analytics Engineer
to build and own the backbone of our data ecosystem.

You'll design and manage our dbt + Snowflake transformation layer, model clean and governed semantic datasets, and make reliable insights available across the business.

If you're passionate about transforming raw data into trustworthy intelligence that drives real decisions, this role is for you.

You'll collaborate closely with
Product, Finance, Operations, and Engineering
teams to turn business questions into reliable, well-documented datasets that everyone can trust.

This role sits at the intersection of
data engineering, analytics, and enablement
, shaping how data flows and informs decisions across the company.

What You'll Do:

Data Modeling & Transformation

• Design, build, and maintain
  dbt projects
  across staging, intermediate, and mart layers.
• Apply
  dimensional modeling
  principles (clear grain, conformed dimensions, SCD strategies) and evolve schemas through
  data contracts
  .
• Publish
  analytics-ready datasets
  with governed metrics and semantics that power BI and AI systems.

Data Quality, Governance & Reliability

• Implement
  data quality frameworks
  with dbt tests, freshness checks, and lineage.
• Establish and maintain
  SLAs, incident playbooks, and documentation
  for all core datasets.
• Embed CI/CD and Git-based workflows to enforce code quality and reproducibility.

? Analytics Enablement

• Partner with analysts and business stakeholders to deliver
  dashboards, reports, and alerting
  through BI tools.
• Drive
  self-serve analytics
  by defining metrics and maintaining a semantic layer as a single source of truth.
• Advocate for consistent data definitions, formatting, and visualization standards across teams.

? Performance & Optimization

• Tune
  Snowflake performance
  and cost efficiency: warehouse strategy, clustering, pruning, caching, and monitoring.
• Develop
  Python utilities
  for ingestion, validation, and automation around dbt/Snowflake workflows, amp Careers typescript
• Integrate new data sources (APIs, files, streams) with partitioning, metadata, and schema evolution.

? AI & Automation Readiness

• Structure data for
  retrieval-augmented generation (RAG)
  and internal knowledge assistants.
• Expose well-documented metadata to enable
  AI-driven workflows
  and intelligent automation across teams.

What We're Looking For:

• 3–5+ years as a BI/Analytics Engineer with end-to-end ELT ownership and
  data modeling
  (must).
• Expert SQL
  and production
  dbt
  (Core/Cloud).
• Proficient in Python
  for automation, ingestion, and validation.
• Snowflake expertise
  — performance tuning, security, and cost management.
• Proven delivery of production-grade datasets and BI artifacts; strong semantic/metrics layer practice.
• Salesforce/CRM data experience
  : syncing (e.g., via managed connectors), object modeling, de-duplication/identity resolution, and revenue metrics alignment.
• Proven delivery of
  production datasets and BI artifacts
  , ideally with a mature semantic layer practice.
• Experience integrating
  unstructured/semi-structured data
  (JSON, Parquet, logs).
• Strong communication skills; able to translate technical concepts for non-technical audiences.
• Experience designing data for
  AI agents, RAG pipelines, or workflow automation
  .

Preferred Qualifications:

• Familiarity with
  orchestration tools
  (Airflow, Rivery, Fivetran) or
  CI/CD pipelines for analytics
  .
• Background in
  fitness, health tech, or IoT/sensor data
  analytics.
• Typescript Advantage