Responsibilities:
Data Architecture & Ingestion — Design and operate Data Cloud data models, ingest pipelines, and real-time streaming for customer, vehicle, product, and telematics data. Own connectors (Salesforce sources, Snowflake, S3, APIs), transformation logic, identity resolution rules, and orchestration to deliver production-ready datasets. Ensure lineage, observability, and SLAs for data delivery.
Identity Resolution & Data Governance — Implement and tune identity stitching/resolution to create trusted, unified profiles. Apply data governance, PII masking, retention policies, and role-based access so data is compliant and usable across Sales, Service, and Marketing.
Analytics, Segments & AI Enablement — Build customer/vehicle segments, event models, and data views that power dashboards, Einstein models, and AI use cases (predictive maintenance, propensity models, real-time offers). Partner with analytics and AI teams to productionize models and monitor model drift.
Integration & Automation (DataOps) — Implement CI/CD for data pipelines, automate deployments of mappings and ingest jobs, and manage pipeline retry/reconciliation strategies. Collaborate with platform engineering on secure, scalable environments (Snowflake, Kafka, Mulesoft or equivalent).
Stakeholder Enablement & Continuous Improvement — Lead workshops with business stakeholders to translate business outcomes into Data Cloud solutions. Produce clear documentation, runbooks, and training; sponsor pilots and POCs to advance data-driven products
Requirements:
4+ years hands-on experience in data engineering, CDP, or customer-data platforms; experience with Salesforce Data Cloud preferred.
Proven track record building ingestion pipelines, identity resolution, and segment models.
Experience integrating Salesforce with Snowflake, S3, APIs, streaming platforms (Kafka/Kinesis) and ETL/ELT tooling.
In-depth knowledge of Salesforce architecture flows, Service Cloud, CRM, Data Cloud.
Deep SQL skills and knowledge of data modeling (event and profile models).
Strong with data pipeline tooling and orchestration (e.g., Airflow, dbt, Mulesoft); familiarity with Snowflake/BigQuery preferred.
Goodyear is one of the world's largest tire companies. It employs about 68,000 people and manufactures its products in 51 facilities in 19 countries around the world. Its two Innovation Centers in Akron, Ohio, and Colmar-Berg, Luxembourg, strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to
Goodyear.com
.
Goodyear is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by law.
