ES Data Ops Strategist

Salesforce; Indianapolis (IN); On-site; USD 85,000 - 110,000; Full time

Benefits offered by this job

Medical insurance

Dental and vision coverage

401(k) plan

Employee stock purchasing program

Job summary

Salesforce is seeking an ES Data Ops Engineer & Strategist in Indianapolis to establish and scale data foundations for HR operations. Responsibilities include designing data models, maintaining pipelines, and ensuring data quality and security.

The ideal candidate will have 4-6 years of experience in data operations, be proficient in SQL and Python, and have a solid understanding of data schemas. Apply now to join a team that redefines the HR data landscape.

Qualifications

• 4–6 years of experience in data operations or engineering.
• Experience in modeling operational workflows into analytics.
• Proven ability in creating data validation and automated testing.

Responsibilities

• Design and build data models for HR service delivery.
• Maintain operational data pipelines using SQL and Python.
• Implement proactive data quality checks and monitoring.

Skills

Data operations

Data engineering

Business intelligence

SQL

Python

Data schemas

Data privacy standards

Tools

Snowflake

BigQuery

Airflow

Job description

Position Summary

The ES Office of Data (ES OOD) is the strategic data foundation for Salesforce's Global Employee Success (ES) Operations — championing trusted employee data, unified governance, HRIS security, and AI-ready data foundations that power seamless, intelligent hire-to-retire experiences.

We are seeking a self-driven ES Data Ops Engineer & Strategist within the ES Office of Data — to establish and scale the data foundations specifically for our HR Operations team. This is a unique role designed for a data professional who loves building foundational structures, automating quality checks, and driving operational excellence.

Key Responsibilities

• Reimagine, design, and build the data models needed to track next-generation HR service delivery, owning backend pipelines for operational KPIs such as case management lifecycles, CSAT, escalation rates, severity distributions, and Cost to Serve
• Design and implement local data models, schemas, and staging areas tailored for agile HR Operations reporting and insights
• Develop and maintain operational data pipelines using clean, production-grade SQL and Python to apply HR business logic and transform raw data into action-ready datasets
• Build and support secure data connections, webhooks, and APIs to sync operational data across internal HR platforms and tools (e.g., ticketing systems, HRIS)
• Transition the team from reactive manual auditing to proactive, automated continuous monitoring — designing and deploying data quality scripts and scheduled test suites that instantly flag anomalies, missing fields, or logic violations in incoming HR operational data
• Maintain, monitor, and optimize HR data pipelines and workflows — proactively identifying bottlenecks, automating manual steps, and establishing rigorous SLAs for data freshness and uptime
• Enforce strict data security boundaries, ensuring localized operational data views comply with global PII regulations, data masking standards, and confidentiality protocols
• Partner closely with the core HR Data Product Engineering team to align with broader corporate data architectures, ensure governance compliance, and smoothly ingest upstream core datasets
• Act as the technical bridge across the ES Office of Data pillars—collaborating with Data Governance to embed security rules into pipelines, engineering the high-performance upstream data layers that fuel HRIS Reporting, and translating Data Program Strategy and Ops roadmaps into automated technical solutions.

Required Skills & Experience

• 4–6 years of experience in data operations, data engineering, or a highly technical business intelligence role
• Experience modeling complex operational workflows (e.g., ticketing, customer support, case management) into structured analytics tables
• Proven experience building data validation, monitoring, and automated testing setups (e.g., dbt tests or custom Python validation scripts)
• Strong SQL and Python proficiency for automated workflows and data transformations
• Solid understanding of data schemas, dimensional modeling, and structuring data for high-performance operational reporting
• Familiarity with cloud data platforms (e.g., Snowflake, BigQuery), orchestration tools (e.g., Airflow), and integrating data via REST APIs
• Working knowledge of data privacy standards and PII handling practices (e.g., data masking, access controls)

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Salesforce offers a variety of benefits to help you live well including time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at: https://www.salesforcebenefits.com.