Engineering Manager – Data Platform & Analytics, Databricks

Posted 6 days ago

Apply Now

About the role

  • Engineering Manager leading Data Platform & Analytics at Fluent, shaping data infrastructure and business intelligence capabilities with a focus on Databricks.

Responsibilities

  • Own Databricks platform strategy: architecture decisions, Unity Catalog migration, cost optimization, and operational excellence.
  • Drive data pipeline development: real-time and batch pipelines using PySpark, Spark Structured Streaming, and Delta Lake.
  • Establish data quality standards: validation frameworks, monitoring, alerting, and SLA management.
  • Partner with Data Architects to translate Enterprise Data Models into performant physical implementations.
  • Integrate streaming infrastructure: Kafka-based event-driven ingestion and processing.
  • Build reporting capabilities: dashboards, KPIs, and self-service analytics for internal and client-facing use.
  • Drive data storytelling: executive presentations, client reporting, and strategic business insights.
  • Develop metrics frameworks: campaign performance, audience quality, and platform health KPIs.
  • Support ad-hoc analysis for campaign optimization and business questions.
  • Lead and grow DE and Analytics teams: hiring, mentoring, performance management, and career development.
  • Coordinate with offshore partners to extend team capacity and manage distributed development workflows.
  • Partner cross-functionally with Data Science, Product, and Client Success to align data capabilities with business needs.
  • Champion engineering best practices: code reviews, CI/CD, testing, documentation, and observability.

Requirements

  • 6+ years of experience in Data Engineering or Analytics, with at least 2 years managing or leading teams.
  • Deep Databricks expertise: Workflows, Delta Lake, Unity Catalog, and platform administration.
  • Strong Spark experience: PySpark, Spark SQL, and understanding of distributed processing internals.
  • Business intelligence expertise: dashboard development, KPI frameworks, and analytics tooling (Tableau, Looker, Power BI, or similar).
  • Experience with streaming architectures: Kafka, event-driven processing, and real-time pipelines.
  • Proven people management skills: hiring, mentoring, performance management, and team development.
  • AWS experience: S3, IAM, and cloud infrastructure fundamentals.
  • Strong communication skills for partnering with technical and business stakeholders.

Benefits

  • Competitive compensation
  • Ample career and professional growth opportunities
  • New Headquarters with an open floor plan to drive collaboration
  • Health, dental, and vision insurance
  • Pre-tax savings plans and transit/parking programs
  • 401K with competitive employer match
  • Volunteer and philanthropic activities throughout the year
  • Educational and social events
  • The amazing opportunity to work for a high-flying performance marketing company!

Job type

Full Time

Experience level

Mid levelSenior

Salary

CA$160,000 - CA$225,000 per year

Degree requirement

Bachelor's Degree

Tech skills

AWSCloudKafkaPySparkSparkSQLTableauUnity

Location requirements

RemoteCanada

Report this job

Found something wrong with the page? Please let us know by submitting a report below.