Mural

3 months ago

Engineering Manager, Data Modeling

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Leading the Data Modeling team to own, evolve, and share core data models and metrics across the company. You’ll build foundational data products in a lakehouse, ensure data quality and reliability, and collaborate with Product, Data Platform, Analytics, Data Science, and ML to enable analytics, in-product insights, and AI/ML training.

Location: Canada

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Sr. Manager level

Key Responsibilities

•Own and evolve core data models and metrics: Define and maintain shared models for product usage, customers, accounts, and key business metrics that support analytics, in-product customer insights, and AI/ML model training
•Build and operate foundational data products: Stay hands-on building models using SQL, Python, and Spark in a modern lakehouse environment (e.g., Databricks), with strong attention to data quality, availability, performance, and cost
•Define shared semantics: Design and maintain shared metric definitions and semantic layers so data is interpreted consistently across teams and systems
•Partner across teams: Work closely with Product to define foundational product concepts, with Data Platform on architecture and reliability, and with Business Analytics, Data Science, ML, and in-product insights teams as key consumers
•Set technical direction: Make pragmatic decisions about modeling standards, architecture, orchestration (Airflow/Astronomer), and tooling that balance near-term delivery with long-term maintainability

Pay and Benefits

Salary: USD 120,000 - 150,000 annually

Key Requirements

•Leadership experience: 2+ years leading or formally managing data professionals
•Strong foundational data modeling experience: 6+ years building and owning shared, reusable core data models in modern data platforms
•Experience supporting SaaS businesses: Familiarity with product usage, and customer data common to SaaS environments
•Hands-on technical depth: Advanced SQL, strong Python, experience with Spark, and comfort working in a modern lakehouse environment (e.g., Databricks)
•Operational mindset: Experience designing for data quality, reliability, and availability, including workflow orchestration with Airflow or Astronomer

Experience:SaaSData modelingDatabricksLakehouseAI/ML

Skills:LeadershipCollaborationCommunicationProblem-solvingAdaptability

Tech Stack:SQLPythonSparkDatabricksAirflowAstronomer

Company Brief

Mural

Provides an AI-powered visual collaboration workspace for teams to run workshops, ideation, and guided visual methods—used by enterprises for remote facilitation, strategy, and design thinking.

Industry: SaaS

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2011

Glassdoor: 2.7

Website LinkedIn Glassdoor

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Mural

3 months ago

Engineering Manager, Data Modeling

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: Canada

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Sr. Manager level

Key Responsibilities

•Own and evolve core data models and metrics: Define and maintain shared models for product usage, customers, accounts, and key business metrics that support analytics, in-product customer insights, and AI/ML model training
•Build and operate foundational data products: Stay hands-on building models using SQL, Python, and Spark in a modern lakehouse environment (e.g., Databricks), with strong attention to data quality, availability, performance, and cost
•Define shared semantics: Design and maintain shared metric definitions and semantic layers so data is interpreted consistently across teams and systems
•Partner across teams: Work closely with Product to define foundational product concepts, with Data Platform on architecture and reliability, and with Business Analytics, Data Science, ML, and in-product insights teams as key consumers
•Set technical direction: Make pragmatic decisions about modeling standards, architecture, orchestration (Airflow/Astronomer), and tooling that balance near-term delivery with long-term maintainability

Pay and Benefits

Salary: USD 120,000 - 150,000 annually

Key Requirements

•Leadership experience: 2+ years leading or formally managing data professionals
•Strong foundational data modeling experience: 6+ years building and owning shared, reusable core data models in modern data platforms
•Experience supporting SaaS businesses: Familiarity with product usage, and customer data common to SaaS environments
•Hands-on technical depth: Advanced SQL, strong Python, experience with Spark, and comfort working in a modern lakehouse environment (e.g., Databricks)
•Operational mindset: Experience designing for data quality, reliability, and availability, including workflow orchestration with Airflow or Astronomer

Experience:SaaSData modelingDatabricksLakehouseAI/ML

Skills:LeadershipCollaborationCommunicationProblem-solvingAdaptability

Tech Stack:SQLPythonSparkDatabricksAirflowAstronomer

Company Brief

Mural

Provides an AI-powered visual collaboration workspace for teams to run workshops, ideation, and guided visual methods—used by enterprises for remote facilitation, strategy, and design thinking.

Industry: SaaS

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2011

Glassdoor: 2.7

Website LinkedIn Glassdoor