Position Overview 

We are seeking a Lead Data Engineer to serve as a senior individual contributor—equivalent to a Staff or Principal Data Engineer—with full ownership of analytics data architecture and engineering standards. This hands‑on technical leadership role is part of a high‑impact analytics team responsible for enabling data‑driven decision‑making across satellite network planning, capacity and demand forecasting, network operations, and performance analytics. 

The Lead Data Engineer will design, build, and operate scalable, production‑grade data pipelines and analytical infrastructure to ensure high‑quality; reliable data is consistently available across global planning and operational workflows. This role defines how operational, network, and business data is ingested, modeled, governed, and consumed—transforming complex, heterogeneous datasets into trusted, decision‑ready analytics assets. 

While this position does not include people management, it carries significant technical ownership and influence. The Lead Data Engineer drives architectural strategy, establishes engineering best practices, and mentors analytics professionals to elevate data engineering maturity across the organization. 

 Success in this role is measured by enabling fast, confident, and consistent data‑driven decision‑making—not platform uptime alone. The focus is on delivering durable analytics foundations that support insight, alignment, and execution at scale 

Key Responsibilities 

Data Architecture & Platform Ownership 

• Own the end‑to‑end analytics data architecture, including ingestion, modeling, governance, and consumption patterns. 

• Design, build, and maintain scalable, reliable data pipelines supporting forecasting, network planning, and operational analytics. 

• Establish and operate a lakehouse‑style architecture (raw → normalized → curated). 
• Integrate diverse, complex operational and telemetry data sources into unified analytical and semantic models. 

Analytics Enablement & Decision Systems 

• Translate ambiguous business needs into durable data products, including curated datasets, semantic layers, and standardized KPIs. 

• Define KPI frameworks with consistent definitions, calculations, and refresh logic across teams. 

• Enable self‑service analytics by delivering trusted, well‑documented, discoverable datasets for BI and advanced analytics. 

  Data Quality, Reliability & Governance 

• Implement automated validation, monitoring, and freshness checks across critical pipelines. 

• Identify and resolve systemic data issues proactively, ensuring uninterrupted operational insights. 

• Design schemas and pipelines with governance needs in mind, including lineage, auditability, and certification. 

  Technical Leadership & Standards 

• Serve as the technical authority for analytics engineering and own architectural decisions. 

• Establish and enforce engineering best practices, including testing, version control, documentation, and modular SQL/Python patterns. 

• Mentor analysts and engineers to raise the quality and reliability of data products. 

• Capture metadata and ownership for scalable governance and enterprise cataloging. 

  Qualifications 

Education 

• Bachelor’s degree in computer science, data engineering, information systems, or a related technical field required. 

• Master’s degree preferred but not required. 

  Experience 

• A minimum of 7–10 years of experience in data engineering, analytics engineering, or related fields. 

• Proven experience designing and operating production‑grade data systems at scale. 

  Preferred Qualifications 

• Experience in telecom, satellite networks, IoT, or other high‑volume telemetry data environments. 

• Familiarity with predictive analytics, forecasting workflows, or ML‑driven feature pipelines. 

• Hands‑on experience implementing data quality frameworks, metadata systems, or data lineage tooling. 

• Experience supporting enterprise analytics on a global scale. 

  Soft Skills 

• Strong interpersonal skills and ability to collaborate across cross‑functional teams. 

• Excellent written and verbal communication skills. 

• Strong problem‑solving, debugging, and prioritization abilities. 

• Ability to operate effectively in fast‑moving, ambiguous environments. 

• Meticulous attention to detail, ensuring accuracy across all documentation and data products. 

• Demonstrated ability to translate complex technical concepts for non‑technical stakeholders. 

  Technology Stack 

• SQL (advanced proficiency for analytics‑grade modeling and transformations) 

• Python (data processing, automation, pipeline development) 

• Cloud platforms such as AWS (preferred), Azure, or GCP 

• ETL/ELT tools such as Airflow, Prefect, or Azure Data Factory 

• Modern data ecosystems including Databricks, Snowflake, Redshift, or similar 

• BI and analytics tools such as Power BI, Tableau, or Looker 

• Version control (Git), CI/CD, and modern testing frameworks 

 Physical Requirements 

• Ability to work in a standard office environment and use a computer for extended periods. 
• Occasional virtual or in‑person collaboration across global teams. 

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

ZoomInfo is seeking a Senior Product Manager, Identity to own the intelligence layer that connects digital signals to real-world business outcomes. In this high-impact role, you'll be responsible for the identity resolution engine that de-anonymizes web traffic, links visitors to companies and contacts, and powers products like WebSights and FormComplete.

As a Senior PM, you'll work at the intersection of platform engineering, data science, and customer value creation. You'll drive systematic improvements to visitor-to-person and IP-to-company match rates, integrate new data sources, and ensure identity data flows seamlessly across ZoomInfo's GTM Intelligence Platform. Your work directly impacts how thousands of customers identify, engage, and convert their ideal buyers.

What You'll Do:

• Strategic Leadership

  • Own product strategy and roadmap for identity resolution, defining vision and success metrics that drive measurable improvements in match rates and customer value
  • Identify and prioritize opportunities to enhance identity resolution through new data sources, improved algorithms, and better data quality
  • Evaluate, negotiate, and integrate 3rd party data partnerships that expand identity coverage and accuracy
  • Define and track core metrics including visitor-to-person match rates, IP-to-company accuracy, coverage, latency, and downstream revenue impact
  • Partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption

  Execution Excellence

  • Deliver measurable improvements to identity resolution performance through rigorous prioritization, rapid experimentation, and iterative execution
  • Diagnose and resolve data quality issues that impact match rates, customer trust, and product experience
  • Build scalable monitoring and alerting systems that track identity resolution health and enable proactive issue detection
  • Create frameworks for evaluating new data sources and measuring their incremental impact on resolution performance
  • Conduct deep discovery using data analysis, customer interviews, and competitive research to uncover opportunities for improvement

  Cross-Functional Partnership

  • Partner with Platform, Application, and Data teams to ensure seamless integration of identity data into customer-facing products
  • Collaborate with data science and engineering to solve complex problems in entity resolution, probabilistic matching, and signal enrichment
  • Work with analytics teams to instrument metrics, build dashboards, and enable data-driven decision making
  • Enable go-to-market teams through training, documentation, and competitive positioning
  • Ensure compliance with global privacy regulations (GDPR, CCPA) and maintain privacy-by-design principles

What You Bring:

• Required Qualifications

  • 5+ years of product management experience in data-intensive B2B SaaS environments, with focus on data products, identity systems, or platform-level capabilities
  • Deep understanding of identity resolution, entity matching, IP-to-company mapping, visitor identification, and the evolving privacy landscape
  • Technical fluency with SQL, Snowflake, and BI tools (Tableau, Looker) - ability to independently analyze data, diagnose issues, and make data-driven decisions
  • Proven track record identifying, diagnosing, and resolving data quality issues at scale with understanding of coverage, accuracy, and freshness trade-offs
  • Cross-functional leadership - demonstrated ability to influence and align engineering, product, data science, and go-to-market teams without formal authority
  • Customer-centric mindset with experience optimizing adoption funnels and driving engagement for technical products
  • Excellent communication skills - ability to translate complex technical concepts into clear, value-based narratives for executives and customers
  • Bias for action - track record of moving quickly from insight to execution with iterative, test-and-learn approach
  • B2B SaaS experience with enterprise data products, platform products, or GTM tools

  Preferred Qualifications

  • Experience with AdTech, MarTech, or Real-Time Bidding (RTB) ecosystems
  • Background in data science, engineering, or analytics prior to product management
  • Experience with customer data platforms, audience targeting, attribution, or cookieless solutions
  • Familiarity with 3rd party data sourcing, evaluation, and integration
  • Experience with probabilistic matching, entity resolution, or graph-based identity systems
  • Knowledge of data privacy regulations and their product implications
  • Experience in sales intelligence, marketing technology, or revenue operations domains
  
  

  Why ZoomInfo?

  • Industry Leader: Power the go-to-market strategies of 35,000+ companies worldwide
  • Data at Scale: Work with one of the largest and most comprehensive B2B databases in the world
  • Innovation Culture: Ship fast, learn faster. We value experimentation and continuous improvement
  • Impact: Your work directly impacts how customers identify and engage their ideal buyers
  • Growth: Join a company that's rapidly expanding product offerings and market leadership
  • Team: Work with world-class product, engineering, data science, and go-to-market teams

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