We are seeking a Senior Manager of Data & Analytics Engineering to lead our data platform teams and power decision-making across the company. In this senior leadership position, you will own and evolve our end-to-end data platform-from ingestion and transformation to analytics layers that business teams rely on daily. You will oversee Data Engineering (infrastructure, pipelines, reliability) and Analytics Engineering (data models, metrics, self-serve tooling), while championing an AI-first approach to the way we build, operate, and innovate.
Requirements
- 7+ years in data engineering or analytics engineering, with 3+ years in a senior leadership role managing multiple teams
- Deep expertise in the modern data stack-cloud data warehouses (Snowflake, BigQuery, or Databricks), dbt, orchestration tools (Airflow, Dagster, or Prefect), and ELT frameworks
- Strong command of SQL and Python
- Hands-on experience integrating AI/LLM tooling into engineering workflows or data products
- Proven ability to define and execute a multi-year data platform strategy
- Strong stakeholder management, including executive presentations and translating technical concepts to non-technical audiences
- Experience building and scaling high-performing engineering teams: hiring, mentoring, performance management
- Track record of delivering trusted, well-documented, and widely adopted data products
It would be great if you also had:
- Familiarity with semantic layer tools (e.g. MetricFlow, Cube), data cataloging (e.g. Atlan, Datahub), and data observability platforms
- Experience with streaming data (Kafka, Flink, or Kinesis) and batch processing
- Exposure to data mesh or data product organizational models
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