# Data Engineering Senior Associate- Finance

**Company**: Salesforce
**Location**: Dublin
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://salesforce.wd12.myworkdayjobs.com/en-US/External_Career_Site/job/Ireland---Dublin/Data-Engineering-Senior-Associate_JR359930?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5677fe8e-1ad

## Description

### Job Overview

We are seeking a Data Engineering Senior Associate to join our Finance team at Salesforce. As a Data Engineering Senior Associate, you will play a crucial role in developing and operating cloud-based solutions that connect Salesforce with finance, HCM, and other enterprise platforms.

### Responsibilities

- Develop, enhance, 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 scheduling, workflow orchestration, dependency management, retries, and failure recovery.

- Develop and support MuleSoft APIs and integrations connecting Salesforce, enterprise applications, databases, and data platforms.

- Provide production and agentic support using AI-assisted monitoring, troubleshooting, knowledge retrieval, incident summarization, and resolution recommendations.

- Monitor scheduled jobs, APIs, interfaces, data availability, data quality, and upstream/downstream dependencies to meet operational SLAs.

- Perform incident triage, restore failed services, coordinate with stakeholders, and track Time to Resolution (TTR).

- Support month-end, quarter-end, and year-end activities by assisting with the SoX process in collaboration with Internal and External Auditors.

- Conduct Root Cause Analysis (RCA) for recurring or critical incidents. Document corrective and preventive actions and track them through closure.

- Support release management activities, including deployment planning, release validation, production verification, rollback readiness, and post-release monitoring.

- Create and maintain operational run lists, production schedules, release checklists, job inventories, dependency details, and escalation contacts.

- Develop and maintain Standard Operating Procedures (SOPs), runbooks, support documentation, knowledge articles, and RCA reports.

- Perform operational activities such as system patching, password and credential rotation, certificate renewal, access management, configuration changes, and environment migrations.

- Support Salesforce-related integrations with an understanding of Salesforce objects, APIs, authentication, batch interfaces, data flows, and integration troubleshooting.

- Perform data validation, source-to-target reconciliation, completeness checks, and failed-job recovery to ensure reliable data delivery.

- Collaborate with data engineering, Salesforce, application, infrastructure, security, database, and business teams to resolve issues and deliver stable solutions.

### Requirements

- Strong SQL development, data analysis, and production troubleshooting skills.

- Hands-on experience with Python and Snowflake.

- Experience with Apache Airflow workflow development, scheduling, and monitoring.

- Experience supporting MuleSoft APIs and enterprise integrations.

- Understanding of ETL/ELT processes, API integrations, job monitoring, incident management, release management, and SLA-based production support.

- Working knowledge of Salesforce platform 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 clear SOPs, runbooks, RCAs, operational reports, and technical documentation.

- Strong communication, collaboration, analytical, and problem-solving skills.

### Nice to Have

- Experience with Informatica or Data Integrator.

- Tableau reporting and dashboard-development experience.

- Familiarity with Salesforce data models and tools such as Bulk API, REST API, Platform Events, or Change Data Capture.

- Experience with AI-assisted or agentic support solutions for monitoring, incident analysis, automated remediation, and knowledge management.

- Knowledge of CI/CD pipelines, Git, automated deployment, release controls, and rollback procedures.

- Experience with cloud platforms, observability tools, service-management platforms, and enterprise alerting solutions.

- Familiarity with Agile delivery, ITIL processes, change management, and problem management.

## Skills

### Required
- Python
- Snowflake
- SQL
- Apache Airflow
- MuleSoft APIs
- ETL/ELT processes
- API integrations
- Salesforce platform concepts
- data warehouse concepts

### Nice to have
- Informatica
- Data Integrator
- Tableau
- Salesforce data models
- AI-assisted support solutions
- CI/CD pipelines
- Git
- cloud platforms

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Source: [Apply at salesforce.wd12.myworkdayjobs.com](https://salesforce.wd12.myworkdayjobs.com/en-US/External_Career_Site/job/Ireland---Dublin/Data-Engineering-Senior-Associate_JR359930?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)