Staff Data Engineer
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Job Description
Staff Data Engineer at Zeta Global leading the design and implementation of a unified semantic data layer. Focused on integrating diverse data sources for enhanced AI and analytics capabilities.
Responsibilities:
- Design and build a centralized semantic data layer using Cube Core (or equivalent technology such as Headless BI, dbt Metrics Layer, or Metriql) that provides a unified, governed abstraction over all company data sources.
- Define semantic models, metrics, dimensions, and relationships that map to business domains across marketing, advertising, identity resolution, and customer analytics.
- Expose the semantic layer via REST/GraphQL APIs and MCP-compatible tool interfaces purpose-built for consumption by AI agents and LLMs.
- Integrate and unify data from heterogeneous systems including MySQL, DynamoDB, Aerospike, Snowflake, Amazon S3 (data lakes), Apache Kafka, Amazon SQS, and other internal data stores.
- Build connectors, adapters, and federation layers to query across both operational (OLTP) and analytical (OLAP) data sources in a performant, cost-efficient manner.
- Ensure seamless handling of both data at rest (warehouses, lakes, databases) and data in motion (streaming platforms, event buses, message queues).
Requirements:
- 10+ years of experience in data engineering, data architecture, or platform engineering, with at least 3 years operating at a Staff/Principal level.
- Deep hands-on expertise with multiple data stores: relational (MySQL/PostgreSQL), NoSQL (DynamoDB, Aerospike, MongoDB), cloud data warehouses (Snowflake, BigQuery, Redshift), and data lakes (S3, Delta Lake, Iceberg).
- Strong experience with streaming and messaging systems: Apache Kafka, Amazon SQS/SNS, Kinesis, or equivalent.
- Proven experience building or operating semantic/metrics layers using Cube.js/Cube Core, dbt Metrics, LookML, or similar technologies.
- Expert-level SQL skills and experience with query optimization across distributed systems.
- Production experience designing multi-tenant data platforms with strict security and isolation requirements.
- Strong understanding of data governance, access control models (RBAC, ABAC), and compliance frameworks (SOC 2, GDPR, CCPA).
- Experience designing and exposing APIs (REST, GraphQL) for data consumption at scale.
- BS/MS in Computer Science, Data Engineering, or equivalent practical experience.
Benefits:
- Unlimited PTO
- Excellent medical, dental, and vision coverage
- Employee Equity
- Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!
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