26 days ago
Base Salary
$172k - $270k/yr
Responsibilities
- Own the technical vision and architecture for scalable, resilient, cost-effective data platforms and pipelines.
- Design end-to-end batch and streaming data systems covering ingestion, transformation, modeling, storage, orchestration, serving, and consumption.
- Define reusable patterns for CDC, event-driven flows, schema evolution, slowly changing dimensions, data quality, and domain-oriented data models.
- Lead architecture reviews, document technical decisions, evaluate build-versus-buy options, and mitigate architectural risks and technical debt.
- Establish standards for development, testing, deployment, documentation, monitoring, incident response, infrastructure as code, CI/CD, and environment promotion.
- Implement data reliability practices covering contracts, schemas, lineage, observability, freshness, completeness, accuracy, reconciliation, SLIs, SLOs, alerting, and runbooks.
- Champion security, privacy, access control, governance, retention, and compliance throughout the data lifecycle.
- Lead the design and development of production-grade pipelines, datasets, platform capabilities, and modernization initiatives.
- Partner with analysts, data scientists, software engineers, and product teams to deliver discoverable, well-modeled, trustworthy data products.
- Mentor data engineers, lead technical workshops and design sessions, and create reusable templates, reference implementations, and playbooks.
Requirements
- 10+ years of experience in software engineering, data engineering, platform engineering, or a related technical discipline.
- 5+ years designing and operating large-scale data platforms, distributed data systems, or enterprise-grade data products.
- Demonstrated expertise in end-to-end system design, resilient architecture, tradeoff analysis, and production delivery.
- Deep knowledge of lakehouse or warehouse platforms, batch and streaming processing, data modeling, orchestration, metadata management, and data governance.
- Strong SQL proficiency and proficiency in at least one general-purpose programming language such as Python, Java, or Scala.
- Experience with distributed data processing frameworks and technologies such as Spark, Kafka, Flink, Snowflake, Databricks, BigQuery, or Redshift.
- Strong data modeling experience across analytical, operational, and domain-oriented use cases.
- Experience establishing standards for testing, CI/CD, observability, infrastructure as code, reliability, and security.
- Ability to lead technical decisions across multiple teams without relying on direct authority.
- Excellent written and verbal communication skills for explaining technical concepts and tradeoffs to technical and non-technical stakeholders.
- Demonstrated experience mentoring engineers and raising technical standards across an organization.
- Preferred experience with AWS, Azure, or GCP cloud-native data platforms.
- Preferred experience with data mesh, domain-oriented data products, self-service platforms, governance, cataloging, lineage, privacy, access-control tooling, ML data pipelines, feature stores, AI/LLM data foundations, or major data-platform migrations.
Benefits
- Comprehensive employee benefits and holistic mind, body, and lifestyle well-being programs are offered.
- The position is listed as remote.
- Additional compensation such as bonus, commission, equity, and other benefits may apply.
Tech Stack
Amazon RedshiftApache AirflowApache FlinkApache KafkaApache SparkAWSAzureDatabricksDatadogdbtGoogle BigQueryGoogle Cloud PlatformJavaMySQLPythonScalaSnowflakeSQL
Categories
Data Engineering
About ZoomInfo
ZoomInfo builds a subscription go-to-market platform for B2B sales and marketing teams, combining company and contact data, intent signals, and sales engagement tools. Its products help organizations find prospects, align GTM motions, and automate outreach, and are used by more than 35,000 companies. The public company (NASDAQ: GTM; also traded in Frankfurt) is headquartered in Vancouver, Washington, and grew out of DiscoverOrg’s acquisition of ZoomInfo.