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Designs scalable, AI-ready data solutions for customers by translating business and technical requirements into data architectures. Responsibilities include technical discovery, data-flow mapping, data validation, entity resolution, integration design, documentation, and governance. The role delivers technical presentations and workshops, collaborates across sales and delivery teams, leverages LLMs and MCP tooling, and identifies solution gaps throughout the customer lifecycle to support satisfaction and account growth.

Design, build, and operate high-volume distributed systems and streaming data services. Develop Java microservices and Python backend APIs, implement real-time engagement-to-CRM mapping, integrate third-party conferencing and CRM platforms, drive architecture and best practices, mentor engineers, and own customer-facing production systems.

Design, build, and operate large-scale data pipelines and a Snowflake-based warehouse/lakehouse using Airflow, DBT, and Python. Integrate diverse data sources, enforce data quality SLAs, participate in on-call rotations, drive architecture and roadmap decisions, mentor engineers, and collaborate with ML/product teams to enable AI-ready data products.

Execute outbound prospecting into enterprise customers to expand relationships and build pipeline for Account Managers. Articulate ZoomInfo's value across Sales, Marketing, Ops, and Recruiting; collaborate with Account Managers to identify expansion opportunities; personalize outreach, maintain prospecting plans, and drive demos and pipeline.

Lead complex enterprise GTM consulting engagements and pre-sales, architect data-driven revenue operations, design GTM frameworks and playbooks, run executive workshops, mentor consultants, and drive expansion and delivery excellence across cross-functional teams.

Build and operate large-scale backend data pipelines and ETL/ELT workflows for ingesting, validating, normalizing, enriching, and storing high-volume data. Implement Java-based services, batch and streaming processing (Beam, Spark, Dataflow), orchestration (Airflow), and cloud infrastructure (GCP). Improve data quality, observability, and reliability while collaborating with product and platform teams to deliver production-grade data acquisition solutions.

Design, implement, and operate scalable, fault-tolerant web crawling and extraction pipelines processing massive web data. Write production Java/Python code, build ETL/ELT pipelines (BigQuery/Snowflake), use Kafka, Kubernetes (GKE/EKS), Terraform, and Airflow, and improve observability, reliability, and collaboration with product and data science teams.

Lead Tier 1 product and release enablement across ZoomInfo's GTM platform, designing engaging eLearning, demo video, playbooks and field resources. Partner with Product SMEs, Solutions Consultants, and Role Enablement to deliver live and virtual training, measure adoption, and build targeted enablement programs for pre-sales and specialist audiences using enterprise reporting and AI tools.

Build and deploy backend components for a conversation-intelligence platform: design complex distributed systems and microservices, integrate third-party conference providers via SDKs, work with cloud infrastructure (AWS/GCP), SQL and NoSQL datastores, RESTful APIs and CI/CD, and support a customer-facing product handling millions of requests daily.

Design, build, and maintain high-volume backend microservices and full-stack scalable applications. Work with cloud infrastructure (GCP/AWS), databases (MySQL, MongoDB), search and big-data tools (Hadoop, Solr/Elasticsearch, Apache Beam), and CI/CD (Jenkins). Perform code reviews, mentor junior engineers, and solve high-scale performance and data-correlation challenges.