Data Engineering Senior Associate
Salesforce30 days ago
Dublin, IrelandSenior
Responsibilities
- Develop and support data ingestion and ETL/ELT solutions using Python, Snowflake, SQL, Informatica, or BusinessObjects Data Integrator.
- Design, maintain, and monitor Apache Airflow DAGs for workflow orchestration, scheduling, dependency management, retries, and failure recovery.
- Develop and support MuleSoft APIs and integrations connecting Salesforce, enterprise applications, databases, and data platforms.
- Monitor jobs, APIs, interfaces, data availability, data quality, dependencies, and operational SLAs.
- Perform incident triage, service restoration, root-cause analysis, corrective-action tracking, and stakeholder coordination.
- Support release management, deployment planning, production verification, rollback readiness, and post-release monitoring.
- Perform data validation, source-to-target reconciliation, completeness checks, and failed-job recovery.
- Support Salesforce integrations involving objects, APIs, authentication, batch interfaces, data flows, and troubleshooting.
- Maintain operational run lists, production schedules, release checklists, job inventories, dependency details, escalation contacts, SOPs, runbooks, and RCA reports.
- Perform patching, credential rotation, certificate renewal, access management, configuration changes, and environment migrations.
- Assist with month-end, quarter-end, and year-end activities and the SOX process with internal and external auditors.
Requirements
- Strong SQL development, data analysis, and production troubleshooting skills.
- Hands-on experience with Python and Snowflake.
- Experience developing, scheduling, and monitoring Apache Airflow workflows.
- Experience supporting MuleSoft APIs and enterprise integrations.
- Understanding of ETL/ELT, API integrations, job monitoring, incident management, release management, and SLA-based production support.
- Working knowledge of Salesforce concepts, objects, APIs, authentication, and integration patterns.
- Knowledge of data warehouse concepts including fact and dimension tables, star and snowflake schemas, conformed dimensions, and slowly changing dimensions.
- Ability to create SOPs, runbooks, root-cause analyses, operational reports, and technical documentation.
- Experience with Informatica or Data Integrator is preferred.
- Tableau reporting and dashboard-development experience is preferred.
- Familiarity with Salesforce Bulk API, REST API, Platform Events, or Change Data Capture is preferred.
- Experience with AI-assisted or agentic support solutions is preferred.
- Experience with Git, automated deployment, release controls, and rollback procedures is preferred.
- Experience with cloud platforms, observability tools, service-management platforms, and enterprise alerting solutions is preferred.
- Knowledge of Finance and HCM systems is advantageous.
- Strong communication, collaboration, analytical, and problem-solving skills.
Benefits
- Salesforce provides benefits and resources intended to support balance and employee well-being.
- The posting describes AI-agent resources intended to accelerate employee impact.
- Salesforce provides reasonable accommodations during the application and recruiting process.
About Salesforce
Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.