Director of Analytics Engineering

Gametime

full-time

Posted on: 9/17/2025

Origin: • 🇺🇸 United States

✨ AI Apply

💰 $250,000 - $300,000 per year

Lead

AndroidCloudiOSKafkaSparkSQLTableau

About the role

Collaborate with Data Platform Team to design and implement an end-to-end real-time, AI-ready architecture
Define and operationalize a best-in-class Analytics Data Layer (ADL) integrating marketing, product, finance, and customer experience datasets
Implement high-fidelity architecture using tools like dbt, Sigma, and Snowflake to ensure high-frequency, low-latency data availability
Own and drive governance framework across all modeled data assets ensuring consistency, accuracy, and security
Codify standards for testing, documentation, and access using dbt and CI/CD pipelines
Architect systems to support self-service analytics for analysts, operators, product managers, and AI agents
Partner with analytics, product, and ML teams to provide structured and reusable data products
Leverage visualization tools (Sigma, Looker, Tableau) to expose curated metrics and diagnostics
Lead and grow a team of analytics engineers and data modelers; document, mentor, and share best practices
Collaborate with ML Engineering, Backend, Analytics, and Finance to align data strategy with business goals

8+ years in analytics/data engineering roles
At least 3+ years in a technical leadership capacity
Deep expertise in dbt, SQL, cloud data warehouses (Snowflake preferred), and modern data stack practices
Familiarity with data visualization platforms (e.g., Sigma, Tableau, Power BI)
Strong belief in data enablement and decentralization, with a disciplined approach to governance and standardization
(Nice to Have) Experience architecting real-time or near-real-time data systems
(Nice to Have) Experience with stream processing frameworks (e.g., Kafka, Flink, Spark Streaming)
(Nice to Have) Prior success in scaling self-service analytics or embedded data tooling
(Nice to Have) Exposure to ML or AI workflows and how data pipelines serve model training and inference