Software Engineering Manager leading a high - performing engineering team at a profitable SaaS company. Ensuring security and compliance while driving high - quality delivery.
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!
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