Engineering Manager, Data Modeling
New
J
JobgetherSaaS Data Engineering
Based in CanadaFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 2+ years of experience formally managing or leading data professionals; 6+ years of experience building and owning shared, reusable data models
- Required Skills
- PythonSQLAirflowData engineeringSparkData modelingSaaSDatabricks
Requirements
- 2+ years of experience formally managing or leading data professionals.
- 6+ years of experience building and owning shared, reusable data models within modern data platforms.
- Strong understanding of SaaS data environments including product usage, customer, account, and business data.
- Advanced SQL skills and strong Python proficiency.
- Hands-on experience using Spark and modern lakehouse technologies such as Databricks.
- Experience designing data systems with workflow orchestration using Airflow or Astronomer.
- Proven ability to create foundational models and shared metric definitions.
- Familiarity with governance, security, compliance, scalability, and operational considerations.
- Excellent cross-functional communication and collaboration skills.
Responsibilities
- Lead the delivery and evolution of foundational data models covering product usage, customers, accounts, and critical business metrics.
- Manage and mentor data professionals while remaining hands-on with technical design, implementation, and problem-solving.
- Build and operate data products using SQL, Python, and Spark within a modern lakehouse environment such as Databricks.
- Establish and maintain shared metric definitions and semantic layers across the organization.
- Partner with Product and Engineering teams to define foundational product concepts.
- Collaborate with Data Platform teams on architecture, reliability, orchestration, governance, and long-term maintainability.
- Set technical direction around modeling standards, architecture, and tooling using technologies such as Airflow or Astronomer.
- Balance delivery needs with investments in architecture, data quality, and security.
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