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Staff Data Engineer

2 hours, 43 minutes ago
United States
Full-time
Lead
Data Engineer
Software Development
AWS CI/CD DynamoDB GCP GraphQL Kafka Kubernetes LLM Microservices MongoDB MySQL Pulumi REST API Snowflake SQL Terraform
Apply Now
Zeta Global

Zeta Global

Zeta Global provides an AI-powered marketing cloud that enables enterprises to acquire, grow, and retain customers through precision marketing, leveraging data science, advanced analytics, and machine learning to create optimized customer experiences.

Media
1K-5K
Founded 2007
View All Jobs 63

Description

  • Design and build a centralized semantic data layer using Cube Core or similar technology.
  • Define semantic models, metrics, dimensions, and relationships across core business domains.
  • Expose the semantic layer through REST and GraphQL APIs and MCP-compatible tool interfaces for AI consumption.
  • Integrate and unify data from operational, analytical, streaming, and internal storage systems.
  • Build connectors, adapters, and federation layers to query across OLTP and OLAP sources efficiently.
  • Design AI-facing data interfaces that let agents discover data, understand schemas, and generate queries autonomously.
  • Collaborate with AI/ML teams to optimize the layer for LLM-generated SQL, natural language querying, RAG, and agentic workflows.
  • Implement guardrails, query validation, and cost controls for AI-driven workloads.
  • Architect multi-tenant isolation with strict data segregation and tenant-scoped access controls.
  • Implement row-level security, column-level masking, and ABAC policies to enforce governance and compliance.
  • Design for horizontal scalability, intelligent caching, and sub-second performance for common queries.
  • Build observability into the semantic layer with metrics, logging, alerting, and query performance profiling.
  • Serve as the technical authority on data architecture decisions and produce ADRs and reference architectures.
  • Mentor senior engineers on semantic modeling, data governance, and API design.
  • Partner cross-functionally with Product, Data Science, Platform Engineering, InfoSec, and Compliance teams.

Requirements

  • 10+ years of experience in data engineering, data architecture, or platform engineering, including at least 3 years at the Staff/Principal level.
  • Deep hands-on expertise with relational, NoSQL, cloud warehouse, and data lake technologies such as MySQL, PostgreSQL, DynamoDB, Aerospike, MongoDB, Snowflake, BigQuery, Redshift, S3, Delta Lake, or Iceberg.
  • Strong experience with streaming and messaging systems such as Apache Kafka, Amazon SQS/SNS, Kinesis, or equivalent.
  • Proven experience building or operating semantic or metrics layers using Cube.js/Cube Core, dbt Metrics, LookML, or similar tools.
  • 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 such as RBAC and ABAC, and compliance frameworks including SOC 2, GDPR, and CCPA.
  • Experience designing and exposing APIs such as REST and GraphQL for data consumption at scale.
  • BS or MS in Computer Science, Data Engineering, or equivalent practical experience.
  • Experience building data interfaces specifically for AI/ML consumption, including tool-use APIs for LLM agents, MCP, or function-calling patterns.
  • Familiarity with AI orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
  • Experience with infrastructure-as-code tools such as Terraform or Pulumi, container orchestration such as Kubernetes or ECS, and CI/CD pipelines for data platform deployments.
  • Background in MarTech or AdTech data domains such as identity graphs, audience segmentation, campaign analytics, attribution modeling, or real-time bidding data.
  • Contributions to open-source data tools or published thought leadership on semantic layers, data mesh, or AI-enabled data architectures.

Benefits

  • Unlimited PTO.
  • Excellent medical, dental, and vision coverage.
  • Employee equity.
  • Employee discounts, virtual wellness classes, and pet insurance.
  • Salary range of $170,000 to $200,000, depending on location and experience.

Interested in this position?

Apply directly on the company website

Apply Now

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